Surrogate Measures of Safety

The following PhD theses are 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.

• Laureshyn, A. Application of automated video analysis to road user behaviour Lund University, 2010 http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=1522969&fileOId=1522970 (Paper 1 on p 93 (unpublished as far as I know) provides a very exhaustive list of safety indicators)
• Svensson, A. A Method for Analyzing the Traffic Process in a Safety Perspective University of Lund, 1998. http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=18638&fileOId=1653512
• 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
• 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
• Cunto, F. Assessing Safety Performance of Transportation Systems using Microscopic Simulation University of Waterloo, 2008. http://hdl.handle.net/10012/4111

Other efforts:

• white paper by the TRB subcommittee on surrogate measures of safety: https://wiki.umn.edu/pub/TRB_ANB203/WebHome/Surrogate_Measures_of_Safety_-_A_White_Paper_2009.pdf
• the software tool to evaluate traffic micro-simulation in terms of safety: SSAM from FHWA (reports http://www.tfhrc.gov/safety/pubs/03050/index.htm http://www.fhwa.dot.gov/publications/research/safety/08051/)

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