https://www.polymtl.ca/api.php?action=feedcontributions&feedformat=atom&user=NicolasSaunier 2026-05-06T18:01:33Z Contributions de l’utilisateur MediaWiki 1.24.0 https://www.polymtl.ca/wikitransport/index.php?title=Road_Safety&diff=1030 2026-04-20T17:02:11Z

<p>NicolasSaunier : NicolasSaunier a déplacé la page RoadSafety vers Road Safety</p> <hr /> <div>Road safety is characterized, based on the vision zero, as the absence of fatalities or severe injuries when people move on roads (including sidewalks). <br /> <br /> Data is needed to measure safety itself, e.g., based on crashes, and on factors associated with crashes, which can be related to users, vehicles and infrastructure, as well as some elements of the larger environment such as the weather. <br /> <br /> Safety can also be measured proactively using [[Surrogate_Measures_of_Safety|surrogate measures of safety]].<br /> <br /> == Data Sources==<br /> <br /> Public or semi-public data sources, see the [https://bellingcat.gitbook.io/toolkit open source intelligence community].<br /> <br /> Data for safety diagnosis often needs to be extracted from the raw data, e.g., images, through various methods including recent advances in AI (computer vision) methods.<br /> <br /> TODO: upload sketch of data sources. <br /> <br /> == Analysis ==<br /> <br /> Statistical and AI methods.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=RoadSafety&diff=1031 2026-04-20T17:02:11Z

<p>NicolasSaunier : NicolasSaunier a déplacé la page RoadSafety vers Road Safety</p> <hr /> <div>#REDIRECTION [[Road Safety]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Road_Safety&diff=1029 2026-04-20T17:01:58Z

<p>NicolasSaunier : Page créée avec « Road safety is characterized, based on the vision zero, as the absence of fatalities or severe injuries when people move on roads (including sidewalks). Data is needed t... »</p> <hr /> <div>Road safety is characterized, based on the vision zero, as the absence of fatalities or severe injuries when people move on roads (including sidewalks). <br /> <br /> Data is needed to measure safety itself, e.g., based on crashes, and on factors associated with crashes, which can be related to users, vehicles and infrastructure, as well as some elements of the larger environment such as the weather. <br /> <br /> Safety can also be measured proactively using [[Surrogate_Measures_of_Safety|surrogate measures of safety]].<br /> <br /> == Data Sources==<br /> <br /> Public or semi-public data sources, see the [https://bellingcat.gitbook.io/toolkit open source intelligence community].<br /> <br /> Data for safety diagnosis often needs to be extracted from the raw data, e.g., images, through various methods including recent advances in AI (computer vision) methods.<br /> <br /> TODO: upload sketch of data sources. <br /> <br /> == Analysis ==<br /> <br /> Statistical and AI methods.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Accueil&diff=1028 2026-04-20T16:53:46Z

<p>NicolasSaunier : /* Research / Recherche */</p> <hr /> <div>&lt;big&gt;'''Bienvenue sur PolyWikiTI, le wiki de la recherche en Transports Intelligents, Actifs et Sécuritaires à Polytechnique Montréal (PolyTI)'''&lt;/big&gt;<br /> <br /> &lt;big&gt;'''Welcome to PolyWikiTI, the wiki about Research in Intelligent, Active and Safe Transport at Polytechnique Montréal (PolyIT)'''&lt;/big&gt;<br /> <br /> maintenu par / maintained by [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> <br /> * Professors in the Groupe Transport et Mobilité Durables (Sustainable Transport and Mobility)<br /> ** [https://www.polymtl.ca/expertises/boisjoly-genevieve Geneviève Boisjoly]<br /> ** [https://www.polymtl.ca/expertises/ciari-francesco Francesco Ciari]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=322 Catherine Morency]<br /> ** [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=190 Martin Trépanier]<br /> ** [https://www.polymtl.ca/expertises/waygood-owen Owen Waygood]<br /> * Former professors<br /> ** [https://scholar.google.com/scholar?&amp;q=karsten%20baass Karsten Baass]<br /> ** [http://www.transport.polymtl.ca/titre1.htm Robert Chapleau]<br /> * [[students|Étudiants / students]]<br /> <br /> =Activities / Activités=<br /> * [[SeminaireGroupe|Séminaires du groupe PolyTI]]<br /> * [[SeminaireTransport|Séminaires Transport des professeurs et étudiants de l'École Polytechnique de Montréal]], organisés sur Teams en 2020-2021<br /> * [[SeminaireInfo|Séminaire appliqué sur les outils informatiques de traitement de données (2011)]]<br /> * [[ModelisationCirculation|Comité pour la modélisation (microscopique) de la circulation (CoMCI)]]<br /> <br /> =Research / Recherche=<br /> Maybe we'll use https://polyit.pubpub.org/.<br /> * [[PolyDatasets|Data]]<br /> * Research Themes<br /> ** [[ResearchIdeas|Research project ideas]]<br /> ** [[BikeLab|Bike laboratory to collect traffic and infrastructure data]]<br /> ** [[StreetEvaluationFramework|Framework to evaluate the functions and impacts of streets]]<br /> ** [[RoadSafety|Road Safety]] and [[Surrogate_Measures_of_Safety|Surrogate Measures of Safety]]<br /> ** [[VideoTracking|Video-based transportation data collection]]<br /> ** [[TrajectoryManagement|Trajectory Management and Analysis]]<br /> ** [[TrackingOptimization|Optimization of tracking performance]]<br /> ** [[VideoAnnotation|Annotation of video data, user trajectories and characteristics]]<br /> ** [[Trajectory_Learning|Methods to learn (cluster) trajectories (motion patterns)]]<br /> ** [[SimulationCalibration|Traffic micro-simulation calibration and validation]]<br /> * [[OldProjects|Past projects]]<br /> <br /> =Resources / Ressources=<br /> * Études supérieures et recherche à Polytechnique<br /> ** Faire un [[PolyPlanEtude|plan d'étude au cycle supérieur en transport]], [[StageMaitrise|un rapport de stage en maîtrise professionnelle]]<br /> ** [[Getting_Started_in_Graduate_Programs|Commencer une maîtrise ou un doctorat / Getting started in a master's or PhD]]<br /> ** [[GestionEquipe|Gestion du groupe de recherche / Research group management]]<br /> ** [[Integrité en recherche|Intégrité en recherche / Research integrity]]<br /> * Ressources pour les cours de [[Ressources_pour_les_cours_de_circulation|circulation et transport]]<br /> * Data Analysis / Analyse de données<br /> ** [[Programming_Resources|Programming resources]]<br /> ** [[Data_Science_Resources|Data Science resources]]<br /> ** [[SafetyResources|(Road) Safety resources]]<br /> ** [[MapTrafficResources|Map and Traffic Processing (Simulation) Resources]]<br /> ** [[PythonHowTo|Python how-to]]<br /> ** [[Computing_Tools_for_Research|Computing tools for research (Liste d'outils informatiques pour la recherche)]]<br /> ** [[OpenScience]]<br /> ** [[Linux_Resources|Linux resources]]<br /> ** [[ProgrammingStyle|Programming naming convention and other coding styles]]<br /> * [[Conseils_pour_faire_de_la_recherche|Conseils pour faire de la recherche]]<br /> * [[TripPlanning|Tools for trip planning]]<br /> * [[Public_Transportation_Datasets|Public transportation datasets]]<br /> * [[Equipment|Equipment]] for data collection<br /> ** [[Rules_for_research_activities_during_the_COVID-19_pandemic|Rules for data collection during the COVID-19 pandemic]]<br /> ** [[VideoDataCollectionHowTo|How to collect video data]]<br /> ** [[Survol_des_équipements_vidéos_pour_collection_de_données|Overview of video data collection gear]]<br /> * Rules for room/règles pour la salle [[B344|B344]]<br /> * [[BoursesTransport|Liste des bourses pour les étudiants en transport]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=SeminaireGroupe&diff=1027 2026-04-17T17:16:13Z

<p>NicolasSaunier : </p> <hr /> <div>* 2026<br /> ** 17/04.26: Nicolas Rodwell Bent How much data, how often? Scaling Laws and Temporal Decay in Traffic Forecasting<br /> ** 03/03/26: research presentation by Wang Luo, visiting PhD student from Central South University<br /> ** 16/01/26: Nicolas Rodwell Bent presented on Traffic Modelling Visualization techniques<br /> * 2025<br /> ** 21/11/2025: group meeting and discussion of data organization (see [[OpenScience]])<br /> ** 31/10/2025: group meeting<br /> * 2024<br /> ** research data planning and management<br /> ** 10 or 12/07/2024: discussion of paper in https://tsr.international/TSR/issue/view/3297<br /> ** 21/06/2024: Tristan Fortin, Study of road user understanding, behavior and safety on bicycle boulevards<br /> ** 07/06/2024: Frédérick Chabot, Characterization framework to assess the performance of a tool for the observation of life in public spaces<br /> ** 31/05/2024: Qingwu Liu, A comprehensive case study on deep learning-based object recognition for safety analysis on roadside and vehicle-mounted dataset<br /> ** 17/05/2024: Guillaume Néven, Probabilistic approach to path travel time estimation<br /> * 2023<br /> ** Summer seminar<br /> *** Tristan Fortin, Collecte de données sur les vélorues : analyse vidéo et questionnaire<br /> *** Yash Pratap Singh, Benchmarking Computer Vision Surveillance Algorithms for Practical Traffic Applications<br /> *** Qingwu Liu, How good are deep learning methods for automated road safety analysis using video data? An experimental study<br /> *** Zhangcun Yan, Investigating and Modeling Motorized and Non-Motorized Interaction Behavior in Shared Spaces of Intersections<br /> *** Tarcisio Costa de Souza Neto, Automatisation d'extraction et d'analyse des données ouvertes de transports<br /> *** Reza Zarei, “Questionnaire Design” for surveying drivers' attitudes towards road safety. <br /> *** Edem Houndjafo, Étude pour l’installation de feux cyclistes aux intersections du chemin de la Côte Sainte Catherine<br /> *** Xinyu Chen, Matrix and Tensor Models for Spatiotemporal Traffic Data Modeling<br /> *** Mohammad Ghavidel, Smartphone Accelerometer Sensor Orientation: best Techniques and its applications<br /> *** Frédérick Chabot, Develop a performance characterization framework for a public space - public life data collection tool<br /> ** group meetings open to everyone starting February 23rd: discussions and exchanges of ideas, on research projects and technical discussions, sometimes based on published papers (reading club). <br /> *** February 23rd: data management plan (&quot;plan de gestion des données&quot;) https://guides.biblio.polymtl.ca/donneesrecherche<br /> *** other ideas: open access publication, peer review is largely a failure... https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review So we could write papers differently: https://psyarxiv.com/2uxwk/<br /> <br /> * 2012<br /> ** 26 juillet<br /> ** 19 juillet<br /> ** 12 juillet<br /> ** 5 juillet: application du Canadian Capacity Guide (François), http://www.runmycode.org<br /> ** 29 juin: projet de collecte de données sur les carrefours giratoires (Arthur)<br /> ** 22 juin: projet marquage au sol (Caio)<br /> ** 15 juin: discussion des paramètres de description des carrefours giratoires (Paul)<br /> ** 8 juin: demo background subtraction (Anurag, Jean-Philippe), de traffic intelligence<br /> ** 1 juin: presentation de Mohamed sur les méthodes de prédictions des mouvement (en particulier en robotique), résultats graphiques de François<br /> ** 18 mai: première réunion</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1026 2026-03-10T20:32:41Z

<p>NicolasSaunier : /* Resources */</p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> * [https://en.wikipedia.org/wiki/Vision_Zero Vision zero] and its operationalization (safe systems)<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [https://www.ictct.net/smos/ subcommittee]. There was a [https://sites.google.com/site/surrogatesafety/ TRB subcommittee] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * Yastremska-Kravchenko, Oksana Microscopic behaviour analysis using video recordings : A perspective on vulnerable road users https://lup.lub.lu.se/search/publication/afdb397a-ba27-4685-8c57-1334046e2d5b<br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * Journals: [https://tsr.international Traffic Safety Research]<br /> * Vision zero and safe systems: https://carsp.ca/en/news-and-resources/road-safety-information/vision-zero-and-the-safe-system-approach/ https://www.tac-atc.ca/wp-content/uploads/prm-vzss-e.pdf<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=1025 2026-03-03T15:28:28Z

<p>NicolasSaunier : </p> <hr /> <div>==Formation éthique / Ethics training==<br /> Les étudiants doivent connaître les règles d'intégrité en recherche. <br /> <br /> Students must know ethics rules. <br /> <br /> Voir [[Integrité en recherche]] / See [[Integrité_en_recherche|research integrity]]<br /> <br /> ==Santé et sécurité au travail (SST)==<br /> Faire une évaluation avant une sortie sur le terrain si l'activité implique des risques plus importants que des déplacements personnels. <br /> <br /> ==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * https://www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true Continuum en santé mentale] [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-mental-health.pdf?guest=true Mental Health Continuum]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Integrit%C3%A9_en_recherche&diff=1024 2026-03-03T15:27:15Z

<p>NicolasSaunier : </p> <hr /> <div>==Éthique / Ethics==<br /> <br /> Les étudiants doivent connaître les règles d'intégrité en recherche.<br /> <br /> L'approbation éthique doit être obtenue (entièrement, et non conditionnellement) auprès du comité d’éthique de la recherche de Polytechnique pour toutes les données personnelles, qu’elles soient collectées par nous, comme les données vidéo, ou partagées par un tiers.<br /> <br /> Students must know ethics rules. <br /> <br /> Ethics approval must be obtained (completely, not conditionally) from the research ethics committee of Polytechnique for any personal data, whether collected by us like video data or shared by a third party. <br /> <br /> https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation<br /> <br /> ==Academic integrity==<br /> <br /> Plagiarism and academic fraud are obviously forbidden. <br /> <br /> This includes using AI to generate text or images for you without disclosing it. You must also verify every output, in particular text and code, for errors. You are responsible in the end of the submitted document. This includes easier to verify telltales like citations that do not exist. You will be reported for academic misconduct if that happens. It should be obvious that you cite only work you've read. <br /> <br /> Scientific rigor takes time. There is basically no shortcut.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Integrit%C3%A9_en_recherche&diff=1023 2026-03-03T15:24:52Z

<p>NicolasSaunier : Page créée avec « ==Ethics== Ethics approval must be obtained (completely, not conditionally) from the ethics committee of Polytechnique for any personal data, whether collected by us lik... »</p> <hr /> <div>==Ethics==<br /> <br /> <br /> Ethics approval must be obtained (completely, not conditionally) from the ethics committee of Polytechnique for any personal data, whether collected by us like video data or shared by a third party. <br /> <br /> https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation<br /> <br /> ==Academic integrity==<br /> <br /> Plagiarism and academic fraud are obviously forbidden. <br /> <br /> This includes using AI to generate text or images for you without disclosing it. You must also verify every output, in particular text and code, for errors. You are responsible in the end of the submitted document. This includes easier to verify telltales like citations that do not exist. You will be reported for academic misconduct if that happens. It should be obvious that you cite only work you've read. <br /> <br /> Scientific rigor takes time. There is basically no shortcut.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Accueil&diff=1022 2026-03-03T15:18:40Z

<p>NicolasSaunier : /* Resources / Ressources */</p> <hr /> <div>&lt;big&gt;'''Bienvenue sur PolyWikiTI, le wiki de la recherche en Transports Intelligents, Actifs et Sécuritaires à Polytechnique Montréal (PolyTI)'''&lt;/big&gt;<br /> <br /> &lt;big&gt;'''Welcome to PolyWikiTI, the wiki about Research in Intelligent, Active and Safe Transport at Polytechnique Montréal (PolyIT)'''&lt;/big&gt;<br /> <br /> maintenu par / maintained by [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> <br /> * Professors in the Groupe Transport et Mobilité Durables (Sustainable Transport and Mobility)<br /> ** [https://www.polymtl.ca/expertises/boisjoly-genevieve Geneviève Boisjoly]<br /> ** [https://www.polymtl.ca/expertises/ciari-francesco Francesco Ciari]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=322 Catherine Morency]<br /> ** [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=190 Martin Trépanier]<br /> ** [https://www.polymtl.ca/expertises/waygood-owen Owen Waygood]<br /> * Former professors<br /> ** [https://scholar.google.com/scholar?&amp;q=karsten%20baass Karsten Baass]<br /> ** [http://www.transport.polymtl.ca/titre1.htm Robert Chapleau]<br /> * [[students|Étudiants / students]]<br /> <br /> =Activities / Activités=<br /> * [[SeminaireGroupe|Séminaires du groupe PolyTI]]<br /> * [[SeminaireTransport|Séminaires Transport des professeurs et étudiants de l'École Polytechnique de Montréal]], organisés sur Teams en 2020-2021<br /> * [[SeminaireInfo|Séminaire appliqué sur les outils informatiques de traitement de données (2011)]]<br /> * [[ModelisationCirculation|Comité pour la modélisation (microscopique) de la circulation (CoMCI)]]<br /> <br /> =Research / Recherche=<br /> Maybe we'll use https://polyit.pubpub.org/.<br /> * [[PolyDatasets|Data]]<br /> * Research Themes<br /> ** [[ResearchIdeas|Research project ideas]]<br /> ** [[BikeLab|Bike laboratory to collect traffic and infrastructure data]]<br /> ** [[StreetEvaluationFramework|Framework to evaluate the functions and impacts of streets]]<br /> ** [[Surrogate_Measures_of_Safety|Surrogate Measures of Safety]]<br /> ** [[VideoTracking|Video-based transportation data collection]]<br /> ** [[TrajectoryManagement|Trajectory Management and Analysis]]<br /> ** [[TrackingOptimization|Optimization of tracking performance]]<br /> ** [[VideoAnnotation|Annotation of video data, user trajectories and characteristics]]<br /> ** [[Trajectory_Learning|Methods to learn (cluster) trajectories (motion patterns)]]<br /> ** [[SimulationCalibration|Traffic micro-simulation calibration and validation]]<br /> * [[OldProjects|Past projects]]<br /> <br /> =Resources / Ressources=<br /> * Études supérieures et recherche à Polytechnique<br /> ** Faire un [[PolyPlanEtude|plan d'étude au cycle supérieur en transport]], [[StageMaitrise|un rapport de stage en maîtrise professionnelle]]<br /> ** [[Getting_Started_in_Graduate_Programs|Commencer une maîtrise ou un doctorat / Getting started in a master's or PhD]]<br /> ** [[GestionEquipe|Gestion du groupe de recherche / Research group management]]<br /> ** [[Integrité en recherche|Intégrité en recherche / Research integrity]]<br /> * Ressources pour les cours de [[Ressources_pour_les_cours_de_circulation|circulation et transport]]<br /> * Data Analysis / Analyse de données<br /> ** [[Programming_Resources|Programming resources]]<br /> ** [[Data_Science_Resources|Data Science resources]]<br /> ** [[SafetyResources|(Road) Safety resources]]<br /> ** [[MapTrafficResources|Map and Traffic Processing (Simulation) Resources]]<br /> ** [[PythonHowTo|Python how-to]]<br /> ** [[Computing_Tools_for_Research|Computing tools for research (Liste d'outils informatiques pour la recherche)]]<br /> ** [[OpenScience]]<br /> ** [[Linux_Resources|Linux resources]]<br /> ** [[ProgrammingStyle|Programming naming convention and other coding styles]]<br /> * [[Conseils_pour_faire_de_la_recherche|Conseils pour faire de la recherche]]<br /> * [[TripPlanning|Tools for trip planning]]<br /> * [[Public_Transportation_Datasets|Public transportation datasets]]<br /> * [[Equipment|Equipment]] for data collection<br /> ** [[Rules_for_research_activities_during_the_COVID-19_pandemic|Rules for data collection during the COVID-19 pandemic]]<br /> ** [[VideoDataCollectionHowTo|How to collect video data]]<br /> ** [[Survol_des_équipements_vidéos_pour_collection_de_données|Overview of video data collection gear]]<br /> * Rules for room/règles pour la salle [[B344|B344]]<br /> * [[BoursesTransport|Liste des bourses pour les étudiants en transport]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1021 2026-02-25T03:56:41Z

<p>NicolasSaunier : </p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> * [https://en.wikipedia.org/wiki/Vision_Zero Vision zero] and its operationalization (safe systems)<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [https://www.ictct.net/smos/ subcommittee]. There was a [https://sites.google.com/site/surrogatesafety/ TRB subcommittee] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * Journals: [https://tsr.international Traffic Safety Research]<br /> * Vision zero and safe systems: https://carsp.ca/en/news-and-resources/road-safety-information/vision-zero-and-the-safe-system-approach/ https://www.tac-atc.ca/wp-content/uploads/prm-vzss-e.pdf<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1020 2026-02-25T03:52:46Z

<p>NicolasSaunier : /* Projects */</p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> * [https://en.wikipedia.org/wiki/Vision_Zero|Vision zero] and its operationalization (safe systems)<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [[https://www.ictct.net/smos/|subcommittee]]. There was a [[https://sites.google.com/site/surrogatesafety/|TRB subcommittee]] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * [https://tsr.international/|Traffic Safety Research]<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1019 2026-02-25T03:51:20Z

<p>NicolasSaunier : </p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> * Vision zero and its operationalization<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [[https://www.ictct.net/smos/|subcommittee]]. There was a [[https://sites.google.com/site/surrogatesafety/|TRB subcommittee]] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * [https://tsr.international/|Traffic Safety Research]<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1018 2026-02-25T03:51:06Z

<p>NicolasSaunier : </p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> * Vision zero and its operationalization<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [[https://www.ictct.net/smos/|subcommittee]]. There was a [[https://sites.google.com/site/surrogatesafety/|TRB subcommittee]] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * [[https://tsr.international/|Traffic Safety Research]]<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf.</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1017 2026-02-24T20:13:40Z

<p>NicolasSaunier : /* Projects */</p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> * Vision zero and its operationalization<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [[https://www.ictct.net/smos/|subcommittee]]. There was a [[https://sites.google.com/site/surrogatesafety/|TRB subcommittee]] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Surrogate_Measures_of_Safety&diff=1016 2026-02-24T20:13:16Z

<p>NicolasSaunier : </p> <hr /> <div>==Projects==<br /> * [[Surrogate_Measures_of_Safety/Interaction_Similarity|Similarity of interactions]]<br /> * [[Surrogate_Measures_of_Safety/Minimal_Road_User_Interaction_Simulation|Minimal road user interaction simulation]]<br /> <br /> ==Resources==<br /> Good starting points are the reports from the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Home/home_node.html InDeV project], in particular the [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Documents/pdf/2-1-4.pdf?__blob=publicationFile&amp;v=1 review of current study methods for VRU safety (Appendix 6)] and [https://www.bast.de/EN/Traffic_Safety/Subjects/InDeV/Handbook/Handbook_node.html handbook for safety of vulnerable road users]. <br /> <br /> A natural home for everything related to SMoS is the International Cooperation on Theories and Concepts in Traffic safety (ICTCT), with its [[https://www.ictct.net/smos/|subcommittee]]. There was a [[https://sites.google.com/site/surrogatesafety/|TRB subcommittee]] for at least two decades, but it last met in 2025. <br /> <br /> Another are the following papers:<br /> * Andrew Tarko: book https://www.elsevier.com/books/measuring-road-safety-with-surrogate-events/tarko/978-0-12-810504-7 and chapter https://www.emerald.com/insight/content/doi/10.1108/S2044-994120180000011019/full/html?utm_source=TrendMD&amp;utm_medium=cpc&amp;utm_campaign=Transport_and_Sustainability_TrendMD_0<br /> * N. Saunier and A. Laureshyn. Surrogate Measures of Safety, Encyclopedia of Transportation, 2:662-667, Elsevier, 2021 http://doi.org/10.1016/B978-0-08-102671-7.10197-6<br /> <br /> The following PhD theses are also very good starting points to understand the topic, in particular the work of Svensson which bridges the traditional traffic conflict techniques and new, more disaggregated, approaches. <br /> * St-Aubin, P. Driver Behaviour and Road Safety Analysis Using Computer Vision and Applications in Roundabout Safety, 2016 https://publications.polymtl.ca/2272/<br /> * Mohamed, M. G. Automatic Behavior Analysis and Understanding of Collision Processes Using Video Sensors, 2015 Polytechnique Montréal https://publications.polymtl.ca/1784/<br /> * Bagadadi, O. The development of methods for detection and assessment of safety critical events in car driving, 2012 http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A674143&amp;dswid=2561 ('''warnings''' about the unclear vocabulary and limited sample sizes)<br /> * Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 https://portal.research.lu.se/en/publications/application-of-automated-video-analysis-to-road-user-behaviour (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)<br /> * Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. https://portal.research.lu.se/en/publications/a-method-for-analysing-the-traffic-process-in-a-safety-perspectiv<br /> * Ismail, K. Application of computer vision techniques for automated road safety analysis and traffic data collection University of British Columbia, 2010. http://hdl.handle.net/2429/29546<br /> * Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling Royal Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143<br /> * Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111<br /> <br /> Other ressources:<br /> * white paper by the TRB subcommittee on surrogate measures of safety: http://n.saunier.free.fr/saunier/stock/tarko09surrogate.pdf<br /> * white paper of the [https://www.sae.org/servlets/works/committeeHome.do?comtID=TEVSMEASURES SAE committee on surrogate measures of safety]: http://papers.sae.org/wp-0005/<br /> * the software tool to evaluate traffic micro-simulation in terms of safety: <br /> ** new SSAM https://www.itsforge.net/index.php/community/explore-applications#/35/143<br /> ** old version of SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)<br /> Old documents:<br /> * FHWA's manual: Traffic Conflict Techniques for Safety and Operations: Observer's Manual http://www.fhwa.dot.gov/publications/research/safety/88027/index.cfm<br /> <br /> I wrote lecture notes for a course given at McGill and online in Canada's national transportation course: https://dl.dropbox.com/u/179169/notes-surrogates.pdf</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=SeminaireGroupe&diff=1015 2026-02-24T20:05:28Z

<p>NicolasSaunier : </p> <hr /> <div>* 2026<br /> ** 03/03/26: research presentation by Wang Luo, visiting PhD student from Central South University<br /> ** 16/01/26: Nicolas Rodwell Bent presented on Traffic Modelling Visualization techniques<br /> * 2025<br /> ** 21/11/2025: group meeting and discussion of data organization (see [[OpenScience]])<br /> ** 31/10/2025: group meeting<br /> * 2024<br /> ** research data planning and management<br /> ** 10 or 12/07/2024: discussion of paper in https://tsr.international/TSR/issue/view/3297<br /> ** 21/06/2024: Tristan Fortin, Study of road user understanding, behavior and safety on bicycle boulevards<br /> ** 07/06/2024: Frédérick Chabot, Characterization framework to assess the performance of a tool for the observation of life in public spaces<br /> ** 31/05/2024: Qingwu Liu, A comprehensive case study on deep learning-based object recognition for safety analysis on roadside and vehicle-mounted dataset<br /> ** 17/05/2024: Guillaume Néven, Probabilistic approach to path travel time estimation<br /> * 2023<br /> ** Summer seminar<br /> *** Tristan Fortin, Collecte de données sur les vélorues : analyse vidéo et questionnaire<br /> *** Yash Pratap Singh, Benchmarking Computer Vision Surveillance Algorithms for Practical Traffic Applications<br /> *** Qingwu Liu, How good are deep learning methods for automated road safety analysis using video data? An experimental study<br /> *** Zhangcun Yan, Investigating and Modeling Motorized and Non-Motorized Interaction Behavior in Shared Spaces of Intersections<br /> *** Tarcisio Costa de Souza Neto, Automatisation d'extraction et d'analyse des données ouvertes de transports<br /> *** Reza Zarei, “Questionnaire Design” for surveying drivers' attitudes towards road safety. <br /> *** Edem Houndjafo, Étude pour l’installation de feux cyclistes aux intersections du chemin de la Côte Sainte Catherine<br /> *** Xinyu Chen, Matrix and Tensor Models for Spatiotemporal Traffic Data Modeling<br /> *** Mohammad Ghavidel, Smartphone Accelerometer Sensor Orientation: best Techniques and its applications<br /> *** Frédérick Chabot, Develop a performance characterization framework for a public space - public life data collection tool<br /> ** group meetings open to everyone starting February 23rd: discussions and exchanges of ideas, on research projects and technical discussions, sometimes based on published papers (reading club). <br /> *** February 23rd: data management plan (&quot;plan de gestion des données&quot;) https://guides.biblio.polymtl.ca/donneesrecherche<br /> *** other ideas: open access publication, peer review is largely a failure... https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review So we could write papers differently: https://psyarxiv.com/2uxwk/<br /> <br /> * 2012<br /> ** 26 juillet<br /> ** 19 juillet<br /> ** 12 juillet<br /> ** 5 juillet: application du Canadian Capacity Guide (François), http://www.runmycode.org<br /> ** 29 juin: projet de collecte de données sur les carrefours giratoires (Arthur)<br /> ** 22 juin: projet marquage au sol (Caio)<br /> ** 15 juin: discussion des paramètres de description des carrefours giratoires (Paul)<br /> ** 8 juin: demo background subtraction (Anurag, Jean-Philippe), de traffic intelligence<br /> ** 1 juin: presentation de Mohamed sur les méthodes de prédictions des mouvement (en particulier en robotique), résultats graphiques de François<br /> ** 18 mai: première réunion</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Accueil&diff=1014 2026-02-24T19:59:27Z

<p>NicolasSaunier : /* Resources / Ressources */</p> <hr /> <div>&lt;big&gt;'''Bienvenue sur PolyWikiTI, le wiki de la recherche en Transports Intelligents, Actifs et Sécuritaires à Polytechnique Montréal (PolyTI)'''&lt;/big&gt;<br /> <br /> &lt;big&gt;'''Welcome to PolyWikiTI, the wiki about Research in Intelligent, Active and Safe Transport at Polytechnique Montréal (PolyIT)'''&lt;/big&gt;<br /> <br /> maintenu par / maintained by [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> <br /> * Professors in the Groupe Transport et Mobilité Durables (Sustainable Transport and Mobility)<br /> ** [https://www.polymtl.ca/expertises/boisjoly-genevieve Geneviève Boisjoly]<br /> ** [https://www.polymtl.ca/expertises/ciari-francesco Francesco Ciari]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=322 Catherine Morency]<br /> ** [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=190 Martin Trépanier]<br /> ** [https://www.polymtl.ca/expertises/waygood-owen Owen Waygood]<br /> * Former professors<br /> ** [https://scholar.google.com/scholar?&amp;q=karsten%20baass Karsten Baass]<br /> ** [http://www.transport.polymtl.ca/titre1.htm Robert Chapleau]<br /> * [[students|Étudiants / students]]<br /> <br /> =Activities / Activités=<br /> * [[SeminaireGroupe|Séminaires du groupe PolyTI]]<br /> * [[SeminaireTransport|Séminaires Transport des professeurs et étudiants de l'École Polytechnique de Montréal]], organisés sur Teams en 2020-2021<br /> * [[SeminaireInfo|Séminaire appliqué sur les outils informatiques de traitement de données (2011)]]<br /> * [[ModelisationCirculation|Comité pour la modélisation (microscopique) de la circulation (CoMCI)]]<br /> <br /> =Research / Recherche=<br /> Maybe we'll use https://polyit.pubpub.org/.<br /> * [[PolyDatasets|Data]]<br /> * Research Themes<br /> ** [[ResearchIdeas|Research project ideas]]<br /> ** [[BikeLab|Bike laboratory to collect traffic and infrastructure data]]<br /> ** [[StreetEvaluationFramework|Framework to evaluate the functions and impacts of streets]]<br /> ** [[Surrogate_Measures_of_Safety|Surrogate Measures of Safety]]<br /> ** [[VideoTracking|Video-based transportation data collection]]<br /> ** [[TrajectoryManagement|Trajectory Management and Analysis]]<br /> ** [[TrackingOptimization|Optimization of tracking performance]]<br /> ** [[VideoAnnotation|Annotation of video data, user trajectories and characteristics]]<br /> ** [[Trajectory_Learning|Methods to learn (cluster) trajectories (motion patterns)]]<br /> ** [[SimulationCalibration|Traffic micro-simulation calibration and validation]]<br /> * [[OldProjects|Past projects]]<br /> <br /> =Resources / Ressources=<br /> * Études supérieures et recherche à Polytechnique<br /> ** Faire un [[PolyPlanEtude|plan d'étude au cycle supérieur en transport]], [[StageMaitrise|un rapport de stage en maîtrise professionnelle]]<br /> ** [[Getting_Started_in_Graduate_Programs|Getting started in a master's or PhD]]<br /> ** [[GestionEquipe|Organisation du groupe de recherche]]<br /> * Ressources pour les cours de [[Ressources_pour_les_cours_de_circulation|circulation et transport]]<br /> * Data Analysis / Analyse de données<br /> ** [[Programming_Resources|Programming resources]]<br /> ** [[Data_Science_Resources|Data Science resources]]<br /> ** [[SafetyResources|(Road) Safety resources]]<br /> ** [[MapTrafficResources|Map and Traffic Processing (Simulation) Resources]]<br /> ** [[PythonHowTo|Python how-to]]<br /> ** [[Computing_Tools_for_Research|Computing tools for research (Liste d'outils informatiques pour la recherche)]]<br /> ** [[OpenScience]]<br /> ** [[Linux_Resources|Linux resources]]<br /> ** [[ProgrammingStyle|Programming naming convention and other coding styles]]<br /> * [[Conseils_pour_faire_de_la_recherche|Conseils pour faire de la recherche]]<br /> * [[TripPlanning|Tools for trip planning]]<br /> * [[Public_Transportation_Datasets|Public transportation datasets]]<br /> * [[Equipment|Equipment]] for data collection<br /> ** [[Rules_for_research_activities_during_the_COVID-19_pandemic|Rules for data collection during the COVID-19 pandemic]]<br /> ** [[VideoDataCollectionHowTo|How to collect video data]]<br /> ** [[Survol_des_équipements_vidéos_pour_collection_de_données|Overview of video data collection gear]]<br /> * Rules for room/règles pour la salle [[B344|B344]]<br /> * [[BoursesTransport|Liste des bourses pour les étudiants en transport]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Getting_Started_in_Graduate_Programs&diff=1012 2026-02-24T19:58:43Z

<p>NicolasSaunier : NicolasSaunier a déplacé la page GettingStartedPhD vers Getting Started in Graduate Programs</p> <hr /> <div>==Generic==<br /> <br /> * Study plan<br /> * CAP workshops<br /> * Literature review (possible relevant use of LLM tools for search and synthesis)<br /> * [[OpenScience#Research_Data_Management|Data management plan]]<br /> ** identify reproducible research<br /> ** build benchmark to demonstrate the contributions<br /> <br /> == PhD specific==<br /> <br /> * Comprehensive exam: to be passed by the 4th semester, with automatic extension to 5th<br /> ** written part<br /> ** research proposal</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GettingStartedPhD&diff=1013 2026-02-24T19:58:43Z

<p>NicolasSaunier : NicolasSaunier a déplacé la page GettingStartedPhD vers Getting Started in Graduate Programs</p> <hr /> <div>#REDIRECTION [[Getting Started in Graduate Programs]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Getting_Started_in_Graduate_Programs&diff=1011 2026-02-24T19:58:23Z

<p>NicolasSaunier : Page créée avec « ==Generic== * Study plan * CAP workshops * Literature review (possible relevant use of LLM tools for search and synthesis) * OpenScience#Research_Data_Management|Data m... »</p> <hr /> <div>==Generic==<br /> <br /> * Study plan<br /> * CAP workshops<br /> * Literature review (possible relevant use of LLM tools for search and synthesis)<br /> * [[OpenScience#Research_Data_Management|Data management plan]]<br /> ** identify reproducible research<br /> ** build benchmark to demonstrate the contributions<br /> <br /> == PhD specific==<br /> <br /> * Comprehensive exam: to be passed by the 4th semester, with automatic extension to 5th<br /> ** written part<br /> ** research proposal</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Accueil&diff=1010 2026-02-24T19:49:56Z

<p>NicolasSaunier : /* Resources / Ressources */</p> <hr /> <div>&lt;big&gt;'''Bienvenue sur PolyWikiTI, le wiki de la recherche en Transports Intelligents, Actifs et Sécuritaires à Polytechnique Montréal (PolyTI)'''&lt;/big&gt;<br /> <br /> &lt;big&gt;'''Welcome to PolyWikiTI, the wiki about Research in Intelligent, Active and Safe Transport at Polytechnique Montréal (PolyIT)'''&lt;/big&gt;<br /> <br /> maintenu par / maintained by [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> <br /> * Professors in the Groupe Transport et Mobilité Durables (Sustainable Transport and Mobility)<br /> ** [https://www.polymtl.ca/expertises/boisjoly-genevieve Geneviève Boisjoly]<br /> ** [https://www.polymtl.ca/expertises/ciari-francesco Francesco Ciari]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=322 Catherine Morency]<br /> ** [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=190 Martin Trépanier]<br /> ** [https://www.polymtl.ca/expertises/waygood-owen Owen Waygood]<br /> * Former professors<br /> ** [https://scholar.google.com/scholar?&amp;q=karsten%20baass Karsten Baass]<br /> ** [http://www.transport.polymtl.ca/titre1.htm Robert Chapleau]<br /> * [[students|Étudiants / students]]<br /> <br /> =Activities / Activités=<br /> * [[SeminaireGroupe|Séminaires du groupe PolyTI]]<br /> * [[SeminaireTransport|Séminaires Transport des professeurs et étudiants de l'École Polytechnique de Montréal]], organisés sur Teams en 2020-2021<br /> * [[SeminaireInfo|Séminaire appliqué sur les outils informatiques de traitement de données (2011)]]<br /> * [[ModelisationCirculation|Comité pour la modélisation (microscopique) de la circulation (CoMCI)]]<br /> <br /> =Research / Recherche=<br /> Maybe we'll use https://polyit.pubpub.org/.<br /> * [[PolyDatasets|Data]]<br /> * Research Themes<br /> ** [[ResearchIdeas|Research project ideas]]<br /> ** [[BikeLab|Bike laboratory to collect traffic and infrastructure data]]<br /> ** [[StreetEvaluationFramework|Framework to evaluate the functions and impacts of streets]]<br /> ** [[Surrogate_Measures_of_Safety|Surrogate Measures of Safety]]<br /> ** [[VideoTracking|Video-based transportation data collection]]<br /> ** [[TrajectoryManagement|Trajectory Management and Analysis]]<br /> ** [[TrackingOptimization|Optimization of tracking performance]]<br /> ** [[VideoAnnotation|Annotation of video data, user trajectories and characteristics]]<br /> ** [[Trajectory_Learning|Methods to learn (cluster) trajectories (motion patterns)]]<br /> ** [[SimulationCalibration|Traffic micro-simulation calibration and validation]]<br /> * [[OldProjects|Past projects]]<br /> <br /> =Resources / Ressources=<br /> * Études supérieures et recherche à Polytechnique<br /> ** Faire un [[PolyPlanEtude|plan d'étude au cycle supérieur en transport]], [[StageMaitrise|un rapport de stage en maîtrise professionnelle]]<br /> ** [[GettingStartedPhD|Getting started in a master's or PhD]]<br /> ** [[GestionEquipe|Organisation du groupe de recherche]]<br /> * Ressources pour les cours de [[Ressources_pour_les_cours_de_circulation|circulation et transport]]<br /> * Data Analysis / Analyse de données<br /> ** [[Programming_Resources|Programming resources]]<br /> ** [[Data_Science_Resources|Data Science resources]]<br /> ** [[SafetyResources|(Road) Safety resources]]<br /> ** [[MapTrafficResources|Map and Traffic Processing (Simulation) Resources]]<br /> ** [[PythonHowTo|Python how-to]]<br /> ** [[Computing_Tools_for_Research|Computing tools for research (Liste d'outils informatiques pour la recherche)]]<br /> ** [[OpenScience]]<br /> ** [[Linux_Resources|Linux resources]]<br /> ** [[ProgrammingStyle|Programming naming convention and other coding styles]]<br /> * [[Conseils_pour_faire_de_la_recherche|Conseils pour faire de la recherche]]<br /> * [[TripPlanning|Tools for trip planning]]<br /> * [[Public_Transportation_Datasets|Public transportation datasets]]<br /> * [[Equipment|Equipment]] for data collection<br /> ** [[Rules_for_research_activities_during_the_COVID-19_pandemic|Rules for data collection during the COVID-19 pandemic]]<br /> ** [[VideoDataCollectionHowTo|How to collect video data]]<br /> ** [[Survol_des_équipements_vidéos_pour_collection_de_données|Overview of video data collection gear]]<br /> * Rules for room/règles pour la salle [[B344|B344]]<br /> * [[BoursesTransport|Liste des bourses pour les étudiants en transport]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=1009 2026-01-26T14:26:30Z

<p>NicolasSaunier : </p> <hr /> <div>==Formation éthique==<br /> les étudiants doivent connaître les règles d'intégrité en recherche<br /> <br /> https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation<br /> <br /> ==Santé et sécurité au travail (SST)==<br /> Faire une évaluation avant une sortie sur le terrain si l'activité implique des risques plus importants que des déplacements personnels. <br /> <br /> ==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * https://www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true Continuum en santé mentale] [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-mental-health.pdf?guest=true Mental Health Continuum]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=SeminaireGroupe&diff=1008 2026-01-16T21:10:26Z

<p>NicolasSaunier : </p> <hr /> <div>* 2026<br /> ** 16/01/26: Nicolas Rodwell Bent presented on Traffic Modelling Visualization techniques<br /> * 2025<br /> ** 21/11/2025: group meeting and discussion of data organization (see [[OpenScience]])<br /> ** 31/10/2025: group meeting<br /> * 2024<br /> ** research data planning and management<br /> ** 10 or 12/07/2024: discussion of paper in https://tsr.international/TSR/issue/view/3297<br /> ** 21/06/2024: Tristan Fortin, Study of road user understanding, behavior and safety on bicycle boulevards<br /> ** 07/06/2024: Frédérick Chabot, Characterization framework to assess the performance of a tool for the observation of life in public spaces<br /> ** 31/05/2024: Qingwu Liu, A comprehensive case study on deep learning-based object recognition for safety analysis on roadside and vehicle-mounted dataset<br /> ** 17/05/2024: Guillaume Néven, Probabilistic approach to path travel time estimation<br /> * 2023<br /> ** Summer seminar<br /> *** Tristan Fortin, Collecte de données sur les vélorues : analyse vidéo et questionnaire<br /> *** Yash Pratap Singh, Benchmarking Computer Vision Surveillance Algorithms for Practical Traffic Applications<br /> *** Qingwu Liu, How good are deep learning methods for automated road safety analysis using video data? An experimental study<br /> *** Zhangcun Yan, Investigating and Modeling Motorized and Non-Motorized Interaction Behavior in Shared Spaces of Intersections<br /> *** Tarcisio Costa de Souza Neto, Automatisation d'extraction et d'analyse des données ouvertes de transports<br /> *** Reza Zarei, “Questionnaire Design” for surveying drivers' attitudes towards road safety. <br /> *** Edem Houndjafo, Étude pour l’installation de feux cyclistes aux intersections du chemin de la Côte Sainte Catherine<br /> *** Xinyu Chen, Matrix and Tensor Models for Spatiotemporal Traffic Data Modeling<br /> *** Mohammad Ghavidel, Smartphone Accelerometer Sensor Orientation: best Techniques and its applications<br /> *** Frédérick Chabot, Develop a performance characterization framework for a public space - public life data collection tool<br /> ** group meetings open to everyone starting February 23rd: discussions and exchanges of ideas, on research projects and technical discussions, sometimes based on published papers (reading club). <br /> *** February 23rd: data management plan (&quot;plan de gestion des données&quot;) https://guides.biblio.polymtl.ca/donneesrecherche<br /> *** other ideas: open access publication, peer review is largely a failure... https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review So we could write papers differently: https://psyarxiv.com/2uxwk/<br /> <br /> * 2012<br /> ** 26 juillet<br /> ** 19 juillet<br /> ** 12 juillet<br /> ** 5 juillet: application du Canadian Capacity Guide (François), http://www.runmycode.org<br /> ** 29 juin: projet de collecte de données sur les carrefours giratoires (Arthur)<br /> ** 22 juin: projet marquage au sol (Caio)<br /> ** 15 juin: discussion des paramètres de description des carrefours giratoires (Paul)<br /> ** 8 juin: demo background subtraction (Anurag, Jean-Philippe), de traffic intelligence<br /> ** 1 juin: presentation de Mohamed sur les méthodes de prédictions des mouvement (en particulier en robotique), résultats graphiques de François<br /> ** 18 mai: première réunion</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Public_Transportation_Datasets&diff=1007 2026-01-02T13:22:40Z

<p>NicolasSaunier : /* Traffic Data */</p> <hr /> <div>See [[PolyDatasets|PolyIT Datasets]], generally not public for privacy reasons.<br /> <br /> Another resource: https://sites.google.com/view/transport-research-network/shared-resources/datasets<br /> <br /> ==Traffic Data==<br /> * DLR Urban Traffic dataset (DLR-UT) https://elib.dlr.de/207287/<br /> * INTERnational, Adversarial and Cooperative moTION Dataset https://interaction-dataset.com/<br /> * NeurIPS 2022 Traffic4cast competition https://github.com/iarai/NeurIPS2022-traffic4cast<br /> * CitySim https://github.com/ozheng1993/UCF-SST-CitySim-Dataset<br /> * PEMS-BAY / METR-LA liyaguang/DCRNN: Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow https://github.com/liyaguang/DCRNN<br /> * NAVER-SEOUL, HyunWookL/PM-MemNet https://github.com/HyunWookL/PM-MemNet<br /> * Uber movement data https://movement.uber.com/?lang=en-CA<br /> * Detector-based traffic data from many countries https://utd19.ethz.ch/index.html<br /> * Trajectories<br /> ** BirdsEyeTrajectoryReconstructionSHRP2NDS https://doi.org/10.15787/VTT1/EFYEJR https://github.com/Yiru-Jiao/BirdsEyeTrajectoryReconstructionSHRP2NDS<br /> ** TJRD TS: http://tjrdts.linknova.cn (vehicle were tracked through millimeter wave radar sensors installed along the freeways in sequence, and trajectories were spliced)<br /> ** Trajnet++ pedestrian trajectory detection benchmark https://www.aicrowd.com/challenges/trajnet-a-trajectory-forecasting-challenge<br /> ** pNEUMA https://open-traffic.epfl.ch/<br /> ** Vehicle-Crowd Intraction (VCI): DUT dataset https://github.com/dongfang-steven-yang/vci-dataset-dut, CITR dataset https://github.com/dongfang-steven-yang/vci-dataset-citr<br /> ** Toyota Woven Prediction Dataset https://woven.toyota/en/prediction-dataset/<br /> ** highD dataset (and more recent: inD, roundD, uniD, etc): new dataset of naturalistic vehicle trajectories recorded on German highways, using a drone https://www.highd-dataset.com/<br /> ** Trajectories from Shanghai intersections https://www.kaggle.com/datasets/zcyan2/mixed-traffic-trajectory-dataset-in-from-shanghai<br /> ** Zen traffic data (2-km Japanese highway) https://zen-traffic-data.net/english/<br /> * Open Data portals<br /> ** Montreal: counts, [http://donnees.ville.montreal.qc.ca/dataset/temps-de-parcours-sur-des-segments-routiers-historique Bluetooth travel times (continuous, 2016-2017)], [http://donnees.ville.montreal.qc.ca/dataset/mtl-trajet MTL trajet travel survey with trajectories (2016, 2017)], [http://donnees.ville.montreal.qc.ca/dataset/trajets-individuels-velo-enregistre-mon-resovelo cyclist trajectories (2014)]<br /> ** Quebec: [https://www.donneesquebec.ca/recherche/fr/dataset/rapports-d-accident road accidents], [https://www.donneesquebec.ca/recherche/fr/dataset/debit-de-circulation AADT]<br /> * TRB Traffic flow theory and characteristics committee (AHB45) http://tft.eng.usf.edu/docs.htm (bottom of the page)<br /> ** includes links to Portland ITS Portal, PeMS in California, etc.<br /> ** NGSIM dataset: traffic data for highways and urban corridors taken from multiple cameras on high buildings https://catalog.data.gov/dataset/next-generation-simulation-ngsim-vehicle-trajectories<br /> * Mobile century data https://bayen.berkeley.edu/downloads/mobile-century-data<br /> * Traffic control data from the US<br /> ** Nevada http://challenger.nvfast.org/SPM/<br /> ** Utah http://udottraffic.utah.gov/ATSPM/<br /> <br /> ==Automated Vehicles==<br /> * Argoverse https://www.argoverse.org/<br /> * Waymo open https://waymo.com/open<br /> * Nuscenes https://www.nuscenes.org<br /> * Volvo https://developer.volvocars.com/open-datasets/cirrus/<br /> <br /> ==Video-related Datasets==<br /> Image datasets of known objects are useful to train and test object classifiers<br /> * Public video data set for road transportation applications (PDTV) http://www.tft.lth.se/video/co-operation/data-exchange/ ftp://barbapappa.tft.lth.se/<br /> * Old synthetic and traffic video data http://i21www.ira.uka.de/image_sequences/<br /> * Comprehensive cars dataset: http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html<br /> * MIT car data http://cbcl.mit.edu/software-datasets/CarData.html and person data http://cbcl.mit.edu/software-datasets/PedestrianData.html<br /> * MIT Traffic Dataset http://www.ee.cuhk.edu.hk/~xgwang/MITtraffic.html<br /> * UIUC car detection http://cogcomp.cs.illinois.edu/Data/Car/ and CMU car data http://vasc.ri.cmu.edu/idb/html/car/<br /> * UCSD method for people counting with dataset http://www.svcl.ucsd.edu/projects/peoplecnt/<br /> * Oxford annotated pedestrian dataset (Town Centre) http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html#datasets<br /> * PETS datasets http://www.cvg.rdg.ac.uk/slides/pets.html<br /> ** 2009: people tracking with multiple cameras http://www.cvg.rdg.ac.uk/PETS2009/ (http://www.cvg.rdg.ac.uk/PETS2009/a.html)<br /> ** 2001: people and cars ftp://ftp.pets.rdg.ac.uk/pub/PETS2001/<br /> * CityCars and CityPedestrians http://www.psi.toronto.edu/index.php?q=flobject%20analysis<br /> * Gavrila http://www.gavrila.net/Research/Pedestrian_Detection/Daimler_Pedestrian_Benchmark_D/daimler_pedestrian_benchmark_d.html<br /> * INRIA dataset used by N. Dalal (HoG classifiers) http://pascal.inrialpes.fr/data/human/<br /> * Multi-View Car Dataset EPFL http://cvlab.epfl.ch/data/pose/<br /> * Multiple object type (including cars) from multiple view http://www.vision.caltech.edu/savarese/3Ddataset.html<br /> * Pascal-type object datasets: http://www.image-net.org/challenges/LSVRC/2012/browse-synsets<br /> * ETH datasets http://www.vision.ee.ethz.ch/datasets/index.en.html<br /> * VIRAT Video Dataset (surveillance, road users, car parks) http://www.viratdata.org/<br /> * NGSIM dataset: highways and urban corridors taken from multiple cameras on high buildings, with the computed results http://ngsim-community.org/<br /> * The PASCAL Visual Object Classes Homepage contains sets of images of objects of various types, including people, bicycles, cars, etc. http://pascallin.ecs.soton.ac.uk/challenges/VOC/ (see also MIT SUN dataset http://groups.csail.mit.edu/vision/SUN/ and Caltech http://www.vision.caltech.edu/Image_Datasets/Caltech256/, MIT CBCL StreetScenes http://cbcl.mit.edu/software-datasets/streetscenes/)<br /> * KITTI vision benchmark suite (images+lidar) http://www.cvlibs.net/datasets/kitti/ (object detection benchmark http://www.cvlibs.net/datasets/kitti/eval_object.php) and Karlsruhe objects http://www.cvlibs.net/datasets/karlsruhe_objects.html<br /> * Longterm Observation of Scenes with Tracks Dataset (LOST) at WUSL http://lost.cse.wustl.edu/browse<br /> * TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situation http://agamenon.tsc.uah.es/Personales/rlopez/data/trancos/<br /> * GRAM Road-Traffic Monitoring (GRAM-RTM) dataset, a novel benchmark for multi-vehicle tracking in real-time http://agamenon.tsc.uah.es/Personales/rlopez/data/rtm/<br /> * Amazing online open source tool for annotation (and using Amazon mechanical turk) http://mit.edu/vondrick/vatic/<br /> * The Comprehensive Cars (CompCars) dataset http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html<br /> * Cityscapes Dataset (fine and coarse segmentation) https://www.cityscapes-dataset.com/<br /> ** with CityPersons https://arxiv.org/abs/1702.05693<br /> * Traffic sign detection challenge http://benchmark.ini.rub.de/?section=gtsdb&amp;subsection=news<br /> * Common objects in context (Microsoft COCO dataset) http://cocodataset.org<br /> * Miovision Traffic Camera Dataset http://podoce.dinf.usherbrooke.ca/<br /> * Synthia dataset (SYNTHetic collection of Imagery and Annotations) http://synthia-dataset.net/<br /> * [http://wider-challenge.org/ WIDER Face &amp; Pedestrian Challenge] - Track 2: Pedestrian Detection https://competitions.codalab.org/competitions/19118<br /> * BDD100K: A Large-scale Diverse Driving Video Database: http://bair.berkeley.edu/blog/2018/05/30/bdd/<br /> * Stanford Drone Dataset: http://cvgl.stanford.edu/projects/uav_data/<br /> * The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking https://sites.google.com/site/daviddo0323/projects/uavdt<br /> * Collective Activity Dataset: https://vhosts.eecs.umich.edu/vision//activity-dataset.html<br /> * Abnormal Event Detection at 150 FPS: http://www.cse.cuhk.edu.hk/leojia/projects/detectabnormal/index.html<br /> * Traffic Research, GRAPH@FIT, Brno University of Technology (camera calibration, car image box, speed measurements): https://medusa.fit.vutbr.cz/traffic/<br /> * Vision Meets Drones http://aiskyeye.com/<br /> * MOTChallenge: The Multiple Object Tracking Benchmark https://motchallenge.net/<br /> * AI city challenge: https://www.aicitychallenge.org/ (dataset CityFlow)<br /> * STREETS: A Novel Camera Network Dataset for Traffic Flow https://github.com/corey-snyder/STREETS<br /> * MOT challenge, includes other datasets https://motchallenge.net/<br /> * Event cameras<br /> ** MVSEC: The Multi Vehicle Stereo Event Camera Dataset https://daniilidis-group.github.io/mvsec/<br /> ** DSEC Dataset: A Stereo Event Camera Dataset for Driving Scenarios https://dsec.ifi.uzh.ch/<br /> * DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios https://drivingstereo-dataset.github.io/<br /> * Sydney group: driving around Sydney campus http://its.acfr.usyd.edu.au/datasets/<br /> * Infrared data: FLIR https://www.flir.quebec/oem/adas/adas-dataset-form/<br /> * Infrared and visual comparison: CAMEL https://camel.ece.gatech.edu/<br /> * MOTSynth (pedestrian videos from GTA V): https://aimagelab.ing.unimore.it/imagelab/page.asp?IdPage=42<br /> * Mobility Aids http://mobility-aids.informatik.uni-freiburg.de/<br /> * X world, EvalAI (CVPR2022 AVA Accessibility Vision and Autonomy Challenge) https://eval.ai/challenge/1690/overview https://openaccess.thecvf.com/content/ICCV2021/papers/Zhang_X-World_Accessibility_Vision_and_Autonomy_Meet_ICCV_2021_paper.pdf<br /> * UCLA activity dataset https://vcla.stat.ucla.edu/Projects/Multiscale_Activity_Recognition/<br /> * Multi-Object Multi-Actor, The first benchmark and dataset dedicated to activity parsing https://moma.stanford.edu<br /> * LUMPI: The Leibniz University Multi-Perspective Intersection Dataset https://data.uni-hannover.de/dataset/lumpi<br /> <br /> ==Crash datasets==<br /> * WTS: Woven Traffic Safety Dataset https://woven-visionai.github.io/wts-dataset-homepage/<br /> * CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis https://ankitshah009.github.io/accident_forecasting_traffic_camera<br /> * TCP: Traffic Camera Pipeline https://github.com/BerkeleyAutomation/Traffic_Camera_Pipeline<br /> <br /> ==LIDAR datasets==<br /> Interesting applications https://scholar.google.com/scholar?&amp;q=lidar%20urban%20environment%20parking<br /> * MulRan: Multimodal Range Dataset for Urban Place Recognition https://sites.google.com/view/mulran-pr<br /> * Complex Urban LiDAR Data Set (more robotics?) http://irap.kaist.ac.kr/dataset<br /> <br /> ==Driver Simulator/Naturalistic Driving==<br /> * [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174959 Driver behavior profiling: An investigation with different smartphone sensors and machine learning] https://github.com/jair-jr/driverBehaviorDataset<br /> * Real World Driving to Assess Driver Workload https://www.hcilab.org/research/hcilab-driving-dataset/<br /> * SIMULATOR STUDY I: A Multimodal Dataset for Various Forms of Distracted Driving https://osf.io/c42cn/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Trajectory_Management_and_Analysis&diff=1006 2025-12-18T21:56:54Z

<p>NicolasSaunier : </p> <hr /> <div>* trajectory clustering in 2026<br /> ** trajectory datasets: you may start to look at public ones (https://github.com/crowdbotp/OpenTraj), though we may have to ask for ethics approval before starting the project<br /> ** trajectory clustering methods: I have worked in that area before, eg with http://n.saunier.free.fr/saunier/stock/saunier06clustering.pdf amd I have found this new work that seems quite interesting: https://github.com/InhwanBae/EigenTrajectory<br /> <br /> * new ideas 2021<br /> ** come back to motion prediction: https://arxiv.org/abs/1908.11472<br /> ** loop back on work by Laurent Boucaud and Mohsen Rezaie<br /> * Data structure for trajectories?<br /> ** dimention: 2D, 3D?<br /> ** time dimension: constant sampling rate?<br /> * Application data:<br /> ** GPS: potentially different sampling rate<br /> ** fixed point detection (eg, BT)<br /> ** mobile id detection (BT from mobile sensors such as smartphones (Y. Malinovskiy))<br /> ** tracking from video data: potential missing points (occlusion)<br /> ** uncertain positions (spatial and time)<br /> * Exceptions ??<br /> * Python bindings: inspiration from OpenCV?<br /> * Generic interface to different database engines, possibly with spatial extensions (eg PostgreSQL with PostGIS, SQLite with SpatiaLite)<br /> * Representation of clusters, motion patterns: prototypes, paths, Gaussian processes<br /> ** motion prediction from historical data / large datasets<br /> * Use of Catch for tests (https://github.com/philsquared/Catch): [https://raw.github.com/philsquared/Catch/master/single_include/catch.hpp header] only<br /> <br /> ==Trajectory Filtering==<br /> * Wikipedia https://en.wikipedia.org/wiki/Numerical_differentiation https://en.wikipedia.org/wiki/Numerical_smoothing_and_differentiation https://en.wikipedia.org/wiki/Finite_difference_coefficients<br /> * papers: (from https://encrypted.google.com/search?hl=en&amp;q=Savitzky-Golay%20vehicle%20trajectories)<br /> http://www.sciencedirect.com/science/article/pii/S0968090X1100091X https://encrypted.google.com/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=2&amp;cad=rja&amp;uact=8&amp;ved=0CCcQFjAB&amp;url=http%3A%2F%2Fentpe.fr%2Ffr%2Fcontent%2Fdownload%2F3451%2F21866%2Ffile%2F09-3831.pdf&amp;ei=FtnrU6uFN5D2yQSKu4DoCw&amp;usg=AFQjCNGdla4RfBqPPmGR_KC8_lAUH2eE0A&amp;sig2=PKT_UdGYDQYQfyekvvKerQ&amp;bvm=bv.72938740,d.aWw http://www.academia.edu/6190206/Using_Drivers_Jerks_Profile_in_Computer_Vision-Based_Traffic_Safety_Evaluations._In_Transportation_Research_Board_93rd_Annual_Meeting_January_2014<br /> <br /> <br /> <br /> ==Data Sources==<br /> * http://www.rtreeportal.org/<br /> * http://crawdad.cs.dartmouth.edu/data.php, eg http://crawdad.cs.dartmouth.edu/epfl/mobility<br /> * http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/default.aspx<br /> <br /> ==Resources==<br /> * Microsoft Research http://research.microsoft.com/pubs/164590/KDD12-PopularRoutes.pdf<br /> * Vlachos (LCSS) http://alumni.cs.ucr.edu/~mvlachos/publications.html<br /> * http://www-ctp.di.fct.unl.pt/~fb/gisruk2011_final.pdf<br /> * http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5337231<br /> * http://isl.cs.unipi.gr/pubs/theses/Frentzos_PhD_Thesis_EN.pdf</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=1005 2025-12-15T20:19:06Z

<p>NicolasSaunier : </p> <hr /> <div>==Formation éthique==<br /> les étudiants doivent connaître les règles d'intégrité en recherche<br /> <br /> https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation<br /> <br /> ==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * https://www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true Continuum en santé mentale] [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-mental-health.pdf?guest=true Mental Health Continuum]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Data_Science_Resources&diff=1004 2025-11-27T03:49:45Z

<p>NicolasSaunier : /* Spatial Analysis */</p> <hr /> <div>=General Books=<br /> * Free books on data science http://www.learndatasci.com/free-data-science-books<br /> * Many online books on various data science topics on https://bookdown.org/<br /> <br /> =Code=<br /> * Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see [[Programming_Resources|Programming resources]] for Python and other languages)<br /> * Python data science handbook https://jakevdp.github.io/PythonDataScienceHandbook/ <br /> ** [https://github.com/jupyter/jupyter/wiki Gallery of Jupyter Notebooks on programming, data science, etc.]<br /> * Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/<br /> * PolyIT GitHub https://github.com/nsaunier/TransportDataEngineering<br /> <br /> =Data Management=<br /> * [http://www.datacarpentry.org/lessons/ Data carpentry]<br /> * A Quick Guide to Organizing Computational Biology Projects https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424 <br /> * Données de recherche https://guides.biblio.polymtl.ca/donneesrecherche [[OpenScience|open science ou science ouverte]], incluant les politiques de gestion des données de recherche<br /> <br /> =Numerical Methods=<br /> * Python Programming And Numerical Methods: A Guide For Engineers And Scientists¶ https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/Index.html<br /> <br /> =Statistics=<br /> * Statistical Thinking for the 21st Century https://statsthinking21.org/<br /> * Learning Statistics with R https://learningstatisticswithr.com/<br /> * Answering questions with data https://crumplab.com/statistics/<br /> * Carnegie Mellon University free online courses: [https://oli.cmu.edu/courses/probability-statistics-open-free/ Probability &amp; Statistics] [https://oli.cmu.edu/courses/statistical-reasoning-copy/ Statistical Reasoning]<br /> * Scientific Approaches to Transportation Research http://onlinepubs.trb.org/Onlinepubs/nchrp/cd-22/start.htm<br /> * Understanding and Communicating Multimodal Transportation Data http://web.cecs.pdx.edu/~monserec/t.data/<br /> * (French) resources<br /> ** Cours MTH2302C: Probabilités et statistique, Denis Marcotte http://cours.polymtl.ca/geo/marcotte/mth2302c.html<br /> ** Notes et ebooks de Ricco Rakotomalala https://cours-machine-learning.blogspot.com/<br /> ** Cours du master économétrie et statistique appliquée de l'Université d’Orléans https://www.univ-orleans.fr/deg/masters/ESA/CH/churlin_E.htm#_Universit%C3%A9_d%27Orl%C3%A9ans,_Master_Econom<br /> ** Explication et interprétation des modèles de choix discrets https://mate-shs.cnrs.fr/actions/tutomate/tuto35-regression-logistique-deauvieau/<br /> * Software<br /> ** R, Python (scipy, statsmodels)<br /> ** [http://gretl.sourceforge.net/ Gretl (econometrics)]<br /> <br /> =Artificial Intelligence=<br /> * CS188 Intro to AI http://ai.berkeley.edu<br /> * Finnish MOOC https://buildingai.elementsofai.com/<br /> <br /> =Machine Learning=<br /> * List of machine learning books http://matpalm.com/blog/cool_machine_learning_books/<br /> ** Pattern Recognition and Machine Learning by Christopher Bishop free at https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf<br /> * Neural Networks: Zero to Hero https://karpathy.ai/zero-to-hero.html https://github.com/karpathy/nn-zero-to-hero (NanoGPT https://github.com/karpathy/nanoGPT)<br /> * [http://profs.polymtl.ca/jagoulet/Site/Goulet_web_page_BOOK.html Probabilistic Machine Learning for Civil Engineers, James Goulet]<br /> * [https://www.microsoft.com/en-us/research/publication/fourth-paradigm-data-intensive-scientific-discovery/ Hey, T. Tansley, S. &amp; Tolle, K. (Eds.) The Fourth Paradigm: Data-Intensive Scientific Discovery Microsoft Research, 2009]<br /> * [http://www.kdnuggets.com/ Site KDnuggets]<br /> * (French) reference book: Cornuéjols, A.; Miclet, L. &amp; Kodratoff, Y. Apprentissage Artificiel Eyrolles, 2002<br /> * (French) [https://cours-machine-learning.blogspot.com/ Notes pour les cours de data mining de Ricco Rakotomalala]<br /> ** [https://tanagra-machine-learning.blogspot.com Tanagra by the same author]<br /> * MOOC by IVADO on deep learning https://cours.edulib.org/courses/course-v1:IVADO+IA-101+P2018/<br /> * Software<br /> ** [http://www.cs.waikato.ac.nz/ml/weka/ Weka]<br /> <br /> =Data Visualization=<br /> * Tufte, E. R. The Visual Display of Quantitative Information Graphics Press, 1983<br /> * Blog: [https://flowingdata.com/ Flowing data], [https://www.reddit.com/r/dataisbeautiful/ Data Is Beautiful (Reddit)]<br /> * https://datavizcatalogue.com<br /> * Articles: Wikipedia [https://en.wikipedia.org/wiki/Diagram diagrams] and [https://en.wikipedia.org/wiki/Chart Charts], [http://queue.acm.org/detail.cfm?id=1805128 ACM paper], [https://www.economist.com/node/15557455 The Economist]<br /> * Labs:<br /> ** [http://hcil.umd.edu/ Human-Computer Interaction Lab] and [https://www.cattlab.umd.edu/ Center for Advanced Transportation Technology Laboratory], University of Maryland<br /> ** TRB [https://www.teachamerica.com/viz/viz2006.html 5th], [http://teachamerica.com/VIZ11/index.html 6th], [https://teachamerica.com/VIZ13/index.html 7th], [http://viz17.businesscatalyst.com/videos.html 8th] and [http://www.cvent.com/events/9th-international-visualization-in-transportation-symposium-a-better-view/event-summary-aa788f12e69f4c5c83936e5c800b1152.aspx 9th] International Visualization in Transportation Symposium and Workshop<br /> ** Professors [http://www.professeurs.polymtl.ca/thomas.hurtut/\#dataviz Thomas Hurtut (Polytechnique)], [http://perso.telecom-paristech.fr/~elc/ Éric Lecolinet (Télécom ParisTech)]<br /> * Courses <br /> ** [https://www.graphics.stanford.edu/courses/cs448b-04-winter/ Data Visualization (CS448b)], Stanford<br /> ** [https://www.cs171.org/ CS117], Hanspeter Pfister, Harvard<br /> * Videos: [https://www.youtube.com/watch?v=AdSZJzb-aX8 The Art of Data Visualization | PBS Digital Studios], [https://www.youtube.com/watch?v=-xS7QJhVbcM Harvard i-lab | Data Visualization for Non-Programmers], [https://www.youtube.com/watch?v=aT4JvF7sglg Mike Bostock (D3js) - Keynote], [https://www.youtube.com/watch?v=R-oiKt7bUU8 Designing Data Visualizations with Noah Iliinsky]<br /> * Libraries / tools<br /> ** Python: [https://matplotlib.org/ matplotlib], [https://seaborn.pydata.org/ seaborn]<br /> ** R: [https://ggplot2.tidyverse.org/ ggplot2]<br /> ** Javascript: [https://d3js.org/ D3.js]<br /> ** Old: [http://www.gnuplot.info gnuplot]<br /> <br /> =Time Series=<br /> * Forecasting: Principles and Practice (2nd ed) https://otexts.com/fpp2/<br /> <br /> =Spatial Data=<br /> * Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/<br /> * QGIS documentation: [https://docs.qgis.org/latest/fr/docs/index.html français], [https://docs.qgis.org/latest/en/docs/index.html english]<br /> ** A Gentle Introduction to GIS https://docs.qgis.org/latest/en/docs/gentle_gis_introduction/index.html<br /> ** QGIS how-to: [https://www.qgistutorials.com/en/docs/3/creating_heatmaps.html heatmaps], [https://www.giscourse.com/how-to-add-openstreetmap-basemaps-in-qgis-3-0/|add OSM layer]<br /> * SpatiaLite cookbook http://www.gaia-gis.it/gaia-sins/spatialite-cookbook-5/index.html<br /> * Introduction to Python for Geographic Data Analysis https://python-gis-book.readthedocs.io<br /> * Introduction to GIS Programming https://geog-312.gishub.org<br /> * (French) books from EPFL: Systèmes d'Information Géographique [https://www.researchgate.net/publication/320979981_Systemes_d%27Information_Geographique_1 Partie 1] et [https://www.researchgate.net/publication/320980079_Systemes_d%27Information_Geographique_2 Partie 2]<br /> * (French) resources, including online courses in https://claroline-connect.univ-st-etienne.fr/web/app.php/resource/open/icap_wiki/224152#/<br /> <br /> =Spatial Analysis=<br /> * [https://ipeagit.github.io/intro_access_book/ Introduction to urban accessibility, a practical guide with R]<br /> * [https://paezha.github.io/spatial-analysis-r/ An Introduction to Spatial Data Analysis and Statistics: A Course in R], Prof. Antonio Paez<br /> * [https://mgimond.github.io/Spatial/index.html Intro to GIS and Spatial Analysis]<br /> * [https://pysal.org Python Spatial Analysis Library (PySAL)]<br /> * [https://geodacenter.github.io/documentation.html Documentation de GeoDa]<br /> * [https://www.spatialanalysisonline.com/ Geospatial Analysis - A comprehensive guide]<br /> * [https://spacetimewithr.org Spatio-Temporal Statistics with R]<br /> * [https://introsda.readthedocs.io/en/latest/index.html Introduction to Spatial Data Analysis], Aalto University</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Data_Science_Resources&diff=1003 2025-11-27T03:49:09Z

<p>NicolasSaunier : /* Machine Learning */</p> <hr /> <div>=General Books=<br /> * Free books on data science http://www.learndatasci.com/free-data-science-books<br /> * Many online books on various data science topics on https://bookdown.org/<br /> <br /> =Code=<br /> * Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see [[Programming_Resources|Programming resources]] for Python and other languages)<br /> * Python data science handbook https://jakevdp.github.io/PythonDataScienceHandbook/ <br /> ** [https://github.com/jupyter/jupyter/wiki Gallery of Jupyter Notebooks on programming, data science, etc.]<br /> * Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/<br /> * PolyIT GitHub https://github.com/nsaunier/TransportDataEngineering<br /> <br /> =Data Management=<br /> * [http://www.datacarpentry.org/lessons/ Data carpentry]<br /> * A Quick Guide to Organizing Computational Biology Projects https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424 <br /> * Données de recherche https://guides.biblio.polymtl.ca/donneesrecherche [[OpenScience|open science ou science ouverte]], incluant les politiques de gestion des données de recherche<br /> <br /> =Numerical Methods=<br /> * Python Programming And Numerical Methods: A Guide For Engineers And Scientists¶ https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/Index.html<br /> <br /> =Statistics=<br /> * Statistical Thinking for the 21st Century https://statsthinking21.org/<br /> * Learning Statistics with R https://learningstatisticswithr.com/<br /> * Answering questions with data https://crumplab.com/statistics/<br /> * Carnegie Mellon University free online courses: [https://oli.cmu.edu/courses/probability-statistics-open-free/ Probability &amp; Statistics] [https://oli.cmu.edu/courses/statistical-reasoning-copy/ Statistical Reasoning]<br /> * Scientific Approaches to Transportation Research http://onlinepubs.trb.org/Onlinepubs/nchrp/cd-22/start.htm<br /> * Understanding and Communicating Multimodal Transportation Data http://web.cecs.pdx.edu/~monserec/t.data/<br /> * (French) resources<br /> ** Cours MTH2302C: Probabilités et statistique, Denis Marcotte http://cours.polymtl.ca/geo/marcotte/mth2302c.html<br /> ** Notes et ebooks de Ricco Rakotomalala https://cours-machine-learning.blogspot.com/<br /> ** Cours du master économétrie et statistique appliquée de l'Université d’Orléans https://www.univ-orleans.fr/deg/masters/ESA/CH/churlin_E.htm#_Universit%C3%A9_d%27Orl%C3%A9ans,_Master_Econom<br /> ** Explication et interprétation des modèles de choix discrets https://mate-shs.cnrs.fr/actions/tutomate/tuto35-regression-logistique-deauvieau/<br /> * Software<br /> ** R, Python (scipy, statsmodels)<br /> ** [http://gretl.sourceforge.net/ Gretl (econometrics)]<br /> <br /> =Artificial Intelligence=<br /> * CS188 Intro to AI http://ai.berkeley.edu<br /> * Finnish MOOC https://buildingai.elementsofai.com/<br /> <br /> =Machine Learning=<br /> * List of machine learning books http://matpalm.com/blog/cool_machine_learning_books/<br /> ** Pattern Recognition and Machine Learning by Christopher Bishop free at https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf<br /> * Neural Networks: Zero to Hero https://karpathy.ai/zero-to-hero.html https://github.com/karpathy/nn-zero-to-hero (NanoGPT https://github.com/karpathy/nanoGPT)<br /> * [http://profs.polymtl.ca/jagoulet/Site/Goulet_web_page_BOOK.html Probabilistic Machine Learning for Civil Engineers, James Goulet]<br /> * [https://www.microsoft.com/en-us/research/publication/fourth-paradigm-data-intensive-scientific-discovery/ Hey, T. Tansley, S. &amp; Tolle, K. (Eds.) The Fourth Paradigm: Data-Intensive Scientific Discovery Microsoft Research, 2009]<br /> * [http://www.kdnuggets.com/ Site KDnuggets]<br /> * (French) reference book: Cornuéjols, A.; Miclet, L. &amp; Kodratoff, Y. Apprentissage Artificiel Eyrolles, 2002<br /> * (French) [https://cours-machine-learning.blogspot.com/ Notes pour les cours de data mining de Ricco Rakotomalala]<br /> ** [https://tanagra-machine-learning.blogspot.com Tanagra by the same author]<br /> * MOOC by IVADO on deep learning https://cours.edulib.org/courses/course-v1:IVADO+IA-101+P2018/<br /> * Software<br /> ** [http://www.cs.waikato.ac.nz/ml/weka/ Weka]<br /> <br /> =Data Visualization=<br /> * Tufte, E. R. The Visual Display of Quantitative Information Graphics Press, 1983<br /> * Blog: [https://flowingdata.com/ Flowing data], [https://www.reddit.com/r/dataisbeautiful/ Data Is Beautiful (Reddit)]<br /> * https://datavizcatalogue.com<br /> * Articles: Wikipedia [https://en.wikipedia.org/wiki/Diagram diagrams] and [https://en.wikipedia.org/wiki/Chart Charts], [http://queue.acm.org/detail.cfm?id=1805128 ACM paper], [https://www.economist.com/node/15557455 The Economist]<br /> * Labs:<br /> ** [http://hcil.umd.edu/ Human-Computer Interaction Lab] and [https://www.cattlab.umd.edu/ Center for Advanced Transportation Technology Laboratory], University of Maryland<br /> ** TRB [https://www.teachamerica.com/viz/viz2006.html 5th], [http://teachamerica.com/VIZ11/index.html 6th], [https://teachamerica.com/VIZ13/index.html 7th], [http://viz17.businesscatalyst.com/videos.html 8th] and [http://www.cvent.com/events/9th-international-visualization-in-transportation-symposium-a-better-view/event-summary-aa788f12e69f4c5c83936e5c800b1152.aspx 9th] International Visualization in Transportation Symposium and Workshop<br /> ** Professors [http://www.professeurs.polymtl.ca/thomas.hurtut/\#dataviz Thomas Hurtut (Polytechnique)], [http://perso.telecom-paristech.fr/~elc/ Éric Lecolinet (Télécom ParisTech)]<br /> * Courses <br /> ** [https://www.graphics.stanford.edu/courses/cs448b-04-winter/ Data Visualization (CS448b)], Stanford<br /> ** [https://www.cs171.org/ CS117], Hanspeter Pfister, Harvard<br /> * Videos: [https://www.youtube.com/watch?v=AdSZJzb-aX8 The Art of Data Visualization | PBS Digital Studios], [https://www.youtube.com/watch?v=-xS7QJhVbcM Harvard i-lab | Data Visualization for Non-Programmers], [https://www.youtube.com/watch?v=aT4JvF7sglg Mike Bostock (D3js) - Keynote], [https://www.youtube.com/watch?v=R-oiKt7bUU8 Designing Data Visualizations with Noah Iliinsky]<br /> * Libraries / tools<br /> ** Python: [https://matplotlib.org/ matplotlib], [https://seaborn.pydata.org/ seaborn]<br /> ** R: [https://ggplot2.tidyverse.org/ ggplot2]<br /> ** Javascript: [https://d3js.org/ D3.js]<br /> ** Old: [http://www.gnuplot.info gnuplot]<br /> <br /> =Time Series=<br /> * Forecasting: Principles and Practice (2nd ed) https://otexts.com/fpp2/<br /> <br /> =Spatial Data=<br /> * Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/<br /> * QGIS documentation: [https://docs.qgis.org/latest/fr/docs/index.html français], [https://docs.qgis.org/latest/en/docs/index.html english]<br /> ** A Gentle Introduction to GIS https://docs.qgis.org/latest/en/docs/gentle_gis_introduction/index.html<br /> ** QGIS how-to: [https://www.qgistutorials.com/en/docs/3/creating_heatmaps.html heatmaps], [https://www.giscourse.com/how-to-add-openstreetmap-basemaps-in-qgis-3-0/|add OSM layer]<br /> * SpatiaLite cookbook http://www.gaia-gis.it/gaia-sins/spatialite-cookbook-5/index.html<br /> * Introduction to Python for Geographic Data Analysis https://python-gis-book.readthedocs.io<br /> * Introduction to GIS Programming https://geog-312.gishub.org<br /> * (French) books from EPFL: Systèmes d'Information Géographique [https://www.researchgate.net/publication/320979981_Systemes_d%27Information_Geographique_1 Partie 1] et [https://www.researchgate.net/publication/320980079_Systemes_d%27Information_Geographique_2 Partie 2]<br /> * (French) resources, including online courses in https://claroline-connect.univ-st-etienne.fr/web/app.php/resource/open/icap_wiki/224152#/<br /> <br /> =Spatial Analysis=<br /> * [https://ipeagit.github.io/intro_access_book/ Introduction to urban accessibility, a practical guide with R]<br /> * [https://paezha.github.io/spatial-analysis-r/ An Introduction to Spatial Data Analysis and Statistics: A Course in R], Prof. Antonio Paez<br /> * [https://mgimond.github.io/Spatial/index.html Intro to GIS and Spatial Analysis]<br /> * [https://pysal.org Python Spatial Analysis Library (PySAL)]<br /> * [https://geodacenter.github.io/documentation.html Documentation de GeoDa]<br /> * [https://www.spatialanalysisonline.com/ Geospatial Analysis - A comprehensive guide]<br /> * [https://spacetimewithr.org Spatio-Temporal Statistics with R]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=SeminaireGroupe&diff=1002 2025-11-21T19:05:19Z

<p>NicolasSaunier : </p> <hr /> <div>* 2025<br /> ** 21/11/2025: group meeting and discussion of data organization (see [[OpenScience]])<br /> ** 31/10/2025: group meeting<br /> * 2024<br /> ** research data planning and management<br /> ** 10 or 12/07/2024: discussion of paper in https://tsr.international/TSR/issue/view/3297<br /> ** 21/06/2024: Tristan Fortin, Study of road user understanding, behavior and safety on bicycle boulevards<br /> ** 07/06/2024: Frédérick Chabot, Characterization framework to assess the performance of a tool for the observation of life in public spaces<br /> ** 31/05/2024: Qingwu Liu, A comprehensive case study on deep learning-based object recognition for safety analysis on roadside and vehicle-mounted dataset<br /> ** 17/05/2024: Guillaume Néven, Probabilistic approach to path travel time estimation<br /> * 2023<br /> ** Summer seminar<br /> *** Tristan Fortin, Collecte de données sur les vélorues : analyse vidéo et questionnaire<br /> *** Yash Pratap Singh, Benchmarking Computer Vision Surveillance Algorithms for Practical Traffic Applications<br /> *** Qingwu Liu, How good are deep learning methods for automated road safety analysis using video data? An experimental study<br /> *** Zhangcun Yan, Investigating and Modeling Motorized and Non-Motorized Interaction Behavior in Shared Spaces of Intersections<br /> *** Tarcisio Costa de Souza Neto, Automatisation d'extraction et d'analyse des données ouvertes de transports<br /> *** Reza Zarei, “Questionnaire Design” for surveying drivers' attitudes towards road safety. <br /> *** Edem Houndjafo, Étude pour l’installation de feux cyclistes aux intersections du chemin de la Côte Sainte Catherine<br /> *** Xinyu Chen, Matrix and Tensor Models for Spatiotemporal Traffic Data Modeling<br /> *** Mohammad Ghavidel, Smartphone Accelerometer Sensor Orientation: best Techniques and its applications<br /> *** Frédérick Chabot, Develop a performance characterization framework for a public space - public life data collection tool<br /> ** group meetings open to everyone starting February 23rd: discussions and exchanges of ideas, on research projects and technical discussions, sometimes based on published papers (reading club). <br /> *** February 23rd: data management plan (&quot;plan de gestion des données&quot;) https://guides.biblio.polymtl.ca/donneesrecherche<br /> *** other ideas: open access publication, peer review is largely a failure... https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review So we could write papers differently: https://psyarxiv.com/2uxwk/<br /> <br /> * 2012<br /> ** 26 juillet<br /> ** 19 juillet<br /> ** 12 juillet<br /> ** 5 juillet: application du Canadian Capacity Guide (François), http://www.runmycode.org<br /> ** 29 juin: projet de collecte de données sur les carrefours giratoires (Arthur)<br /> ** 22 juin: projet marquage au sol (Caio)<br /> ** 15 juin: discussion des paramètres de description des carrefours giratoires (Paul)<br /> ** 8 juin: demo background subtraction (Anurag, Jean-Philippe), de traffic intelligence<br /> ** 1 juin: presentation de Mohamed sur les méthodes de prédictions des mouvement (en particulier en robotique), résultats graphiques de François<br /> ** 18 mai: première réunion</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=SeminaireGroupe&diff=1001 2025-11-21T19:04:38Z

<p>NicolasSaunier : </p> <hr /> <div>* 2025<br /> ** 21/11/2025: group meeting and discussion of data organization<br /> ** 31/10/2025: group meeting<br /> * 2024<br /> ** research data planning and management<br /> ** 10 or 12/07/2024: discussion of paper in https://tsr.international/TSR/issue/view/3297<br /> ** 21/06/2024: Tristan Fortin, Study of road user understanding, behavior and safety on bicycle boulevards<br /> ** 07/06/2024: Frédérick Chabot, Characterization framework to assess the performance of a tool for the observation of life in public spaces<br /> ** 31/05/2024: Qingwu Liu, A comprehensive case study on deep learning-based object recognition for safety analysis on roadside and vehicle-mounted dataset<br /> ** 17/05/2024: Guillaume Néven, Probabilistic approach to path travel time estimation<br /> * 2023<br /> ** Summer seminar<br /> *** Tristan Fortin, Collecte de données sur les vélorues : analyse vidéo et questionnaire<br /> *** Yash Pratap Singh, Benchmarking Computer Vision Surveillance Algorithms for Practical Traffic Applications<br /> *** Qingwu Liu, How good are deep learning methods for automated road safety analysis using video data? An experimental study<br /> *** Zhangcun Yan, Investigating and Modeling Motorized and Non-Motorized Interaction Behavior in Shared Spaces of Intersections<br /> *** Tarcisio Costa de Souza Neto, Automatisation d'extraction et d'analyse des données ouvertes de transports<br /> *** Reza Zarei, “Questionnaire Design” for surveying drivers' attitudes towards road safety. <br /> *** Edem Houndjafo, Étude pour l’installation de feux cyclistes aux intersections du chemin de la Côte Sainte Catherine<br /> *** Xinyu Chen, Matrix and Tensor Models for Spatiotemporal Traffic Data Modeling<br /> *** Mohammad Ghavidel, Smartphone Accelerometer Sensor Orientation: best Techniques and its applications<br /> *** Frédérick Chabot, Develop a performance characterization framework for a public space - public life data collection tool<br /> ** group meetings open to everyone starting February 23rd: discussions and exchanges of ideas, on research projects and technical discussions, sometimes based on published papers (reading club). <br /> *** February 23rd: data management plan (&quot;plan de gestion des données&quot;) https://guides.biblio.polymtl.ca/donneesrecherche<br /> *** other ideas: open access publication, peer review is largely a failure... https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review So we could write papers differently: https://psyarxiv.com/2uxwk/<br /> <br /> * 2012<br /> ** 26 juillet<br /> ** 19 juillet<br /> ** 12 juillet<br /> ** 5 juillet: application du Canadian Capacity Guide (François), http://www.runmycode.org<br /> ** 29 juin: projet de collecte de données sur les carrefours giratoires (Arthur)<br /> ** 22 juin: projet marquage au sol (Caio)<br /> ** 15 juin: discussion des paramètres de description des carrefours giratoires (Paul)<br /> ** 8 juin: demo background subtraction (Anurag, Jean-Philippe), de traffic intelligence<br /> ** 1 juin: presentation de Mohamed sur les méthodes de prédictions des mouvement (en particulier en robotique), résultats graphiques de François<br /> ** 18 mai: première réunion</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=1000 2025-11-21T19:04:14Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> * Polytechnique's libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> ** Public datasets should be put on Borealis https://borealisdata.ca<br /> * Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> * Open Source in Lab Management, Julien Cohen-Adad https://arxiv.org/abs/2405.07774<br /> * Tools: DataLad ([https://handbook.datalad.org/en/latest/index.html Handbook]), https://snakemake.github.io/<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Brainhack school https://school-brainhack.github.io<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> * Tools<br /> ** writing papers with the code: https://quarto.org/ (see also knitr for R)<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Institute For Replication https://i4replication.org<br /> ** Replication Games https://i4replication.org/blog%20Games.html<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=999 2025-11-21T19:01:51Z

<p>NicolasSaunier : /* Research Data Management */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> * Polytechnique's libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> ** Public datasets should be put on Borealis https://borealisdata.ca<br /> * Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> * Open Source in Lab Management, Julien Cohen-Adad https://arxiv.org/abs/2405.07774<br /> * Tools: DataLad ([https://handbook.datalad.org/en/latest/index.html Handbook]), https://snakemake.github.io/<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Brainhack school https://school-brainhack.github.io<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Institute For Replication https://i4replication.org<br /> ** Replication Games https://i4replication.org/blog%20Games.html<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=998 2025-11-19T15:09:50Z

<p>NicolasSaunier : /* Research Data Management */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> * Polytechnique's libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> ** Public datasets should be put on Borealis https://borealisdata.ca<br /> * Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> * Open Source in Lab Management, Julien Cohen-Adad https://arxiv.org/abs/2405.07774<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Brainhack school https://school-brainhack.github.io<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Institute For Replication https://i4replication.org<br /> ** Replication Games https://i4replication.org/blog%20Games.html<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=997 2025-11-19T15:08:42Z

<p>NicolasSaunier : /* Replicability */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> * Open Source in Lab Management, Julien Cohen-Adad https://arxiv.org/abs/2405.07774<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Brainhack school https://school-brainhack.github.io<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Institute For Replication https://i4replication.org<br /> ** Replication Games https://i4replication.org/blog%20Games.html<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Accueil&diff=996 2025-11-19T15:06:44Z

<p>NicolasSaunier : </p> <hr /> <div>&lt;big&gt;'''Bienvenue sur PolyWikiTI, le wiki de la recherche en Transports Intelligents, Actifs et Sécuritaires à Polytechnique Montréal (PolyTI)'''&lt;/big&gt;<br /> <br /> &lt;big&gt;'''Welcome to PolyWikiTI, the wiki about Research in Intelligent, Active and Safe Transport at Polytechnique Montréal (PolyIT)'''&lt;/big&gt;<br /> <br /> maintenu par / maintained by [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> <br /> * Professors in the Groupe Transport et Mobilité Durables (Sustainable Transport and Mobility)<br /> ** [https://www.polymtl.ca/expertises/boisjoly-genevieve Geneviève Boisjoly]<br /> ** [https://www.polymtl.ca/expertises/ciari-francesco Francesco Ciari]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=322 Catherine Morency]<br /> ** [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=190 Martin Trépanier]<br /> ** [https://www.polymtl.ca/expertises/waygood-owen Owen Waygood]<br /> * Former professors<br /> ** [https://scholar.google.com/scholar?&amp;q=karsten%20baass Karsten Baass]<br /> ** [http://www.transport.polymtl.ca/titre1.htm Robert Chapleau]<br /> * [[students|Étudiants / students]]<br /> <br /> =Activities / Activités=<br /> * [[SeminaireGroupe|Séminaires du groupe PolyTI]]<br /> * [[SeminaireTransport|Séminaires Transport des professeurs et étudiants de l'École Polytechnique de Montréal]], organisés sur Teams en 2020-2021<br /> * [[SeminaireInfo|Séminaire appliqué sur les outils informatiques de traitement de données (2011)]]<br /> * [[ModelisationCirculation|Comité pour la modélisation (microscopique) de la circulation (CoMCI)]]<br /> <br /> =Research / Recherche=<br /> Maybe we'll use https://polyit.pubpub.org/.<br /> * [[PolyDatasets|Data]]<br /> * Research Themes<br /> ** [[ResearchIdeas|Research project ideas]]<br /> ** [[BikeLab|Bike laboratory to collect traffic and infrastructure data]]<br /> ** [[StreetEvaluationFramework|Framework to evaluate the functions and impacts of streets]]<br /> ** [[Surrogate_Measures_of_Safety|Surrogate Measures of Safety]]<br /> ** [[VideoTracking|Video-based transportation data collection]]<br /> ** [[TrajectoryManagement|Trajectory Management and Analysis]]<br /> ** [[TrackingOptimization|Optimization of tracking performance]]<br /> ** [[VideoAnnotation|Annotation of video data, user trajectories and characteristics]]<br /> ** [[Trajectory_Learning|Methods to learn (cluster) trajectories (motion patterns)]]<br /> ** [[SimulationCalibration|Traffic micro-simulation calibration and validation]]<br /> * [[OldProjects|Past projects]]<br /> <br /> =Resources / Ressources=<br /> * Études supérieures et recherche à Polytechnique<br /> ** Faire un [[PolyPlanEtude|plan d'étude au cycle supérieur en transport]], [[StageMaitrise|un rapport de stage en maîtrise professionnelle]]<br /> ** [[GestionEquipe|Organisation du groupe de recherche]]<br /> * Ressources pour les cours de [[Ressources_pour_les_cours_de_circulation|circulation et transport]]<br /> * Data Analysis / Analyse de données<br /> ** [[Programming_Resources|Programming resources]]<br /> ** [[Data_Science_Resources|Data Science resources]]<br /> ** [[SafetyResources|(Road) Safety resources]]<br /> ** [[MapTrafficResources|Map and Traffic Processing (Simulation) Resources]]<br /> ** [[PythonHowTo|Python how-to]]<br /> ** [[Computing_Tools_for_Research|Computing tools for research (Liste d'outils informatiques pour la recherche)]]<br /> ** [[OpenScience]]<br /> ** [[Linux_Resources|Linux resources]]<br /> ** [[ProgrammingStyle|Programming naming convention and other coding styles]]<br /> * [[Conseils_pour_faire_de_la_recherche|Conseils pour faire de la recherche]]<br /> * [[TripPlanning|Tools for trip planning]]<br /> * [[Public_Transportation_Datasets|Public transportation datasets]]<br /> * [[Equipment|Equipment]] for data collection<br /> ** [[Rules_for_research_activities_during_the_COVID-19_pandemic|Rules for data collection during the COVID-19 pandemic]]<br /> ** [[VideoDataCollectionHowTo|How to collect video data]]<br /> ** [[Survol_des_équipements_vidéos_pour_collection_de_données|Overview of video data collection gear]]<br /> * Rules for room/règles pour la salle [[B344|B344]]<br /> * [[BoursesTransport|Liste des bourses pour les étudiants en transport]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=SeminaireGroupe&diff=995 2025-11-19T15:03:11Z

<p>NicolasSaunier : </p> <hr /> <div>* 2025<br /> ** 19/11/2025: group meeting and discussion of data organization<br /> ** 31/10/2025: group meeting<br /> * 2024<br /> ** research data planning and management<br /> ** 10 or 12/07/2024: discussion of paper in https://tsr.international/TSR/issue/view/3297<br /> ** 21/06/2024: Tristan Fortin, Study of road user understanding, behavior and safety on bicycle boulevards<br /> ** 07/06/2024: Frédérick Chabot, Characterization framework to assess the performance of a tool for the observation of life in public spaces<br /> ** 31/05/2024: Qingwu Liu, A comprehensive case study on deep learning-based object recognition for safety analysis on roadside and vehicle-mounted dataset<br /> ** 17/05/2024: Guillaume Néven, Probabilistic approach to path travel time estimation<br /> * 2023<br /> ** Summer seminar<br /> *** Tristan Fortin, Collecte de données sur les vélorues : analyse vidéo et questionnaire<br /> *** Yash Pratap Singh, Benchmarking Computer Vision Surveillance Algorithms for Practical Traffic Applications<br /> *** Qingwu Liu, How good are deep learning methods for automated road safety analysis using video data? An experimental study<br /> *** Zhangcun Yan, Investigating and Modeling Motorized and Non-Motorized Interaction Behavior in Shared Spaces of Intersections<br /> *** Tarcisio Costa de Souza Neto, Automatisation d'extraction et d'analyse des données ouvertes de transports<br /> *** Reza Zarei, “Questionnaire Design” for surveying drivers' attitudes towards road safety. <br /> *** Edem Houndjafo, Étude pour l’installation de feux cyclistes aux intersections du chemin de la Côte Sainte Catherine<br /> *** Xinyu Chen, Matrix and Tensor Models for Spatiotemporal Traffic Data Modeling<br /> *** Mohammad Ghavidel, Smartphone Accelerometer Sensor Orientation: best Techniques and its applications<br /> *** Frédérick Chabot, Develop a performance characterization framework for a public space - public life data collection tool<br /> ** group meetings open to everyone starting February 23rd: discussions and exchanges of ideas, on research projects and technical discussions, sometimes based on published papers (reading club). <br /> *** February 23rd: data management plan (&quot;plan de gestion des données&quot;) https://guides.biblio.polymtl.ca/donneesrecherche<br /> *** other ideas: open access publication, peer review is largely a failure... https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review So we could write papers differently: https://psyarxiv.com/2uxwk/<br /> <br /> * 2012<br /> ** 26 juillet<br /> ** 19 juillet<br /> ** 12 juillet<br /> ** 5 juillet: application du Canadian Capacity Guide (François), http://www.runmycode.org<br /> ** 29 juin: projet de collecte de données sur les carrefours giratoires (Arthur)<br /> ** 22 juin: projet marquage au sol (Caio)<br /> ** 15 juin: discussion des paramètres de description des carrefours giratoires (Paul)<br /> ** 8 juin: demo background subtraction (Anurag, Jean-Philippe), de traffic intelligence<br /> ** 1 juin: presentation de Mohamed sur les méthodes de prédictions des mouvement (en particulier en robotique), résultats graphiques de François<br /> ** 18 mai: première réunion</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=994 2025-11-17T19:16:08Z

<p>NicolasSaunier : /* Bonnes pratiques */</p> <hr /> <div>==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * https://www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true Continuum en santé mentale] [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-mental-health.pdf?guest=true Mental Health Continuum]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=993 2025-11-17T19:15:49Z

<p>NicolasSaunier : /* Ressources */</p> <hr /> <div>==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true|Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * https://www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true Continuum en santé mentale] [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-mental-health.pdf?guest=true Mental Health Continuum]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=992 2025-11-17T19:15:15Z

<p>NicolasSaunier : /* Ressources */</p> <hr /> <div>==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true|Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * https://www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true|Continuum en santé mentale] [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-mental-health.pdf?guest=true|Mental Health Continuum]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=GestionEquipe&diff=991 2025-11-17T19:11:03Z

<p>NicolasSaunier : Page créée avec « ==Bonnes pratiques== * Assurer la transparence et l’équité des pratiques * Faire connaitre les opportunités et ressources sur le campus * Soutenir l’intégration de... »</p> <hr /> <div>==Bonnes pratiques==<br /> * Assurer la transparence et l’équité des pratiques<br /> * Faire connaitre les opportunités et ressources sur le campus<br /> * Soutenir l’intégration des nouvelles recrues<br /> * Encourager les échanges et la convivialité<br /> * Renforcer la cohésion et l’esprit d’équipe<br /> * Réduire la pression de performance et ses effets contreproductifs<br /> * Favoriser la santé globale, le bien-être et l’équilibre de vie<br /> * Aménager des espaces agréables et confortables<br /> * Rester à l’écoute des besoins<br /> <br /> Tiré de [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Labos-inclusifs_Recommandations.pdf?guest=true|Document synthèse des bonnes pratiques]<br /> <br /> ==Ressources==<br /> * www.polymtl.ca/edi/labos-inclusifs<br /> * [https://share.polymtl.ca/alfresco/service/api/path/content;cm:content/workspace/SpacesStore/Company%20Home/Sites/edi-web/documentLibrary/Labos-inclusifs/Continuum-sante-mentale.pdf?guest=true|Continuum en santé mentale]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=Accueil&diff=990 2025-11-17T19:06:46Z

<p>NicolasSaunier : /* Research / Recherche */</p> <hr /> <div>&lt;big&gt;'''Bienvenue sur PolyWikiTI, le wiki de la recherche en Transports Intelligents, Actifs et Sécuritaires à Polytechnique Montréal (PolyTI)'''&lt;/big&gt;<br /> <br /> &lt;big&gt;'''Welcome to PolyWikiTI, the wiki about Research in Intelligent, Active and Safe Transport at Polytechnique Montréal (PolyIT)'''&lt;/big&gt;<br /> <br /> maintenu par / maintained by [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> <br /> * Professors in the Groupe Transport et Mobilité Durables (Sustainable Transport and Mobility)<br /> ** [https://www.polymtl.ca/expertises/boisjoly-genevieve Geneviève Boisjoly]<br /> ** [https://www.polymtl.ca/expertises/ciari-francesco Francesco Ciari]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=322 Catherine Morency]<br /> ** [http://nicolas.saunier.confins.net Nicolas Saunier]<br /> ** [http://www.polymtl.ca/recherche/rc/professeurs/details.php?NoProf=190 Martin Trépanier]<br /> ** [https://www.polymtl.ca/expertises/waygood-owen Owen Waygood]<br /> * Former professors<br /> ** [https://scholar.google.com/scholar?&amp;q=karsten%20baass Karsten Baass]<br /> ** [http://www.transport.polymtl.ca/titre1.htm Robert Chapleau]<br /> * [[students|Étudiants / students]]<br /> <br /> =Activities / Activités=<br /> * [[SeminaireGroupe|Séminaires du groupe PolyTI]]<br /> * [[SeminaireTransport|Séminaires Transport des professeurs et étudiants de l'École Polytechnique de Montréal]], organisés sur Teams en 2020-2021<br /> * [[SeminaireInfo|Séminaire appliqué sur les outils informatiques de traitement de données (2011)]]<br /> * [[ModelisationCirculation|Comité pour la modélisation (microscopique) de la circulation (CoMCI)]]<br /> <br /> =Research / Recherche=<br /> Maybe we'll use https://polyit.pubpub.org/.<br /> * [[PolyDatasets|Data]]<br /> * Research Themes<br /> ** [[ResearchIdeas|Research project ideas]]<br /> ** [[BikeLab|Bike laboratory to collect traffic and infrastructure data]]<br /> ** [[StreetEvaluationFramework|Framework to evaluate the functions and impacts of streets]]<br /> ** [[Surrogate_Measures_of_Safety|Surrogate Measures of Safety]]<br /> ** [[VideoTracking|Video-based transportation data collection]]<br /> ** [[TrajectoryManagement|Trajectory Management and Analysis]]<br /> ** [[TrackingOptimization|Optimization of tracking performance]]<br /> ** [[VideoAnnotation|Annotation of video data, user trajectories and characteristics]]<br /> ** [[Trajectory_Learning|Methods to learn (cluster) trajectories (motion patterns)]]<br /> ** [[SimulationCalibration|Traffic micro-simulation calibration and validation]]<br /> * [[OldProjects|Past projects]]<br /> * [[GestionEquipe|Organisation du groupe de recherche]]<br /> <br /> =Resources / Ressources=<br /> * Faire un [[PolyPlanEtude|plan d'étude au cycle supérieur en transport]], [[StageMaitrise|un rapport de stage en maîtrise professionnelle]]<br /> * Ressources pour les cours de [[Ressources_pour_les_cours_de_circulation|circulation et transport]]<br /> * Data Analysis / Analyse de données<br /> ** [[Programming_Resources|Programming resources]]<br /> ** [[Data_Science_Resources|Data Science resources]]<br /> ** [[SafetyResources|(Road) Safety resources]]<br /> ** [[MapTrafficResources|Map and Traffic Processing (Simulation) Resources]]<br /> ** [[PythonHowTo|Python how-to]]<br /> ** [[Computing_Tools_for_Research|Computing tools for research (Liste d'outils informatiques pour la recherche)]]<br /> ** [[OpenScience]]<br /> ** [[Linux_Resources|Linux resources]]<br /> ** [[ProgrammingStyle|Programming naming convention and other coding styles]]<br /> * [[Conseils_pour_faire_de_la_recherche|Conseils pour faire de la recherche]]<br /> * [[TripPlanning|Tools for trip planning]]<br /> * [[Public_Transportation_Datasets|Public transportation datasets]]<br /> * [[Equipment|Equipment]] for data collection<br /> ** [[Rules_for_research_activities_during_the_COVID-19_pandemic|Rules for data collection during the COVID-19 pandemic]]<br /> ** [[VideoDataCollectionHowTo|How to collect video data]]<br /> ** [[Survol_des_équipements_vidéos_pour_collection_de_données|Overview of video data collection gear]]<br /> * Rules for room/règles pour la salle [[B344|B344]]<br /> * [[BoursesTransport|Liste des bourses pour les étudiants en transport]]</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=989 2025-10-30T18:43:29Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> * Open Source in Lab Management, Julien Cohen-Adad https://arxiv.org/abs/2405.07774<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Brainhack school https://school-brainhack.github.io<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=988 2025-10-30T18:32:53Z

<p>NicolasSaunier : /* Research Data Management */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> * Open Source in Lab Management, Julien Cohen-Adad https://arxiv.org/abs/2405.07774<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=987 2025-10-30T18:30:02Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** GEOG 712 Reproducible Research Workflow with GitHub and R, Antonio Paez https://github.com/paezha/Reproducible-Research-Workflow<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=986 2025-10-22T02:16:03Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io [https://docs.google.com/document/d/1E0c5-DDVo2MMoF2rPOiH2brIZyC_3YZZrcgp0x6VCPs/edit Reproducibility Framework]<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org [https://www.rerite.org/itsc24-rr-tutorial/ Hands-on Tutorial]<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=985 2025-10-22T00:31:48Z

<p>NicolasSaunier : /* Replicating */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org<br /> <br /> ==Replicability==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=984 2025-10-21T19:28:34Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** R for Reproducible Scientific Analysis https://swcarpentry.github.io/r-novice-gapminder/<br /> ** Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org<br /> <br /> ==Replicating==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=983 2025-10-21T19:24:51Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io<br /> * Reproducible Research Introduction https://datacarpentry.github.io/rr-intro/<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org<br /> <br /> ==Replicating==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier https://www.polymtl.ca/wikitransport/index.php?title=OpenScience&diff=982 2025-10-21T19:01:37Z

<p>NicolasSaunier : /* Reproducibility */</p> <hr /> <div>Open science encompasses open data, open source code and open access publication. <br /> <br /> * [https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html#table-of-definitions-for-reproducibility Definitions of reproducibility, replicability, etc.]<br /> * [https://doi.org/10.17226/25303 National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.]<br /> <br /> ==Open Access==<br /> Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository<br /> <br /> ==Research Data Management==<br /> Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche<br /> <br /> Public datasets should be put on Borealis https://borealisdata.ca<br /> <br /> Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&amp;guest=true)<br /> <br /> ==Reproducibility==<br /> <br /> * The Turing Way https://the-turing-way.netlify.app<br /> * Findable, Accessible, Interoperable, Reusable (FAIR) research<br /> ** WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140<br /> ** 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657<br /> * Courses<br /> ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/<br /> ** Compute Ontario Summer School https://www.computeontario.ca/2025-summer-school: <br /> *** Reproducible Research Practices and Tools https://training.computeontario.ca/courses/course/view.php?id=131<br /> *** Research Data Management: A Global Perspective on Making Data FAIRhttps://training.computeontario.ca/courses/course/view.php?id=132<br /> *** Depositing in Borealis, the Canadian Dataverse Repository https://training.computeontario.ca/courses/course/view.php?id=148<br /> * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master<br /> * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon<br /> * Curating Data Sets for Reproducibility https://research-reuse.github.io<br /> * Journal club initiative https://reproducibilitea.org<br /> * REproducible Research In Transportation Engineering (RERITE) Working Group https://www.rerite.org<br /> <br /> ==Replicating==<br /> Reproducibility is not sufficient, replicating is also important.<br /> <br /> * https://rescience.github.io/<br /> * Replication Games https://i4replication.org/blog%20Games.html<br /> * Institute For Replication https://i4replication.org<br /> <br /> ==Misc==<br /> From my webpage written in 2009: &quot;I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!&quot; https://nicolas.saunier.confins.net/</div>

NicolasSaunier