Demonstrating before and after safety behavioral analysis using computer vision
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.
|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|
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.