The focus of this paper is driven by the potential of computer vision techniques for solving well-entrenched problems in road safety and behavior analyses. Road-Users behavior analysis and safety diagnosis constitute the main pillars of this research. Addressing those issues represents an indirect and far reaching challenge to meeting grassroots demand for a sustainable transportation system. One of the focus areas of safety and behavior analyses that could greatly benefit from vision-based road user tracking is before-and-after (BA) evaluation of safety treatments. BA studies are a key component of road safety programs that aim at measuring the safety benefits (or absence thereof) derived from a specific engineering treatment. Three case studies are introduced to demonstrate this potential. The first two case studies deal with conducting automated before-and-after (BA) evaluation of safety treatments while the third deal with the automated analysis of pedestrian crossing behaviour following the implementation of a pedestrian scramble phase.

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Keywords Before-and--after safety studies, Computer vision, Pedestrian speed analysis, Pedestrian walking behavior, Safety evaluation, Surrogate measures, Traffic conflicts
Conference 19th Intelligent Transport Systems World Congress, ITS 2012
Citation
Sayed, T. (Tarek), Autey, J. (Jarvis), Hediyeh, H. (Houman), Zaki, M.H. (Mohamed H.), & Ismail, K. (2012). Demonstrating before and after safety behavioral analysis using computer vision. In 19th Intelligent Transport Systems World Congress, ITS 2012.