Estimation of crossing conflict at signalized intersection using high-resolution traffic data : final report.
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2017-03-01
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Edition:Final report
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Abstract:This project explores the possibility of using high-resolution traffic signal data to evaluate intersection safety.
Traditional methods using historical crash data collected from infrequently and randomly occurring vehicle
collisions can require several years to identify potentially risky situations. By contrast, the proposed method
estimates potential traffic conflicts using high-resolution traffic signal data collected from the SMART-Signal
system. The potential conflicts estimated in this research include both red-light running events, when stop-bar
detectors are available, and crossing (i.e. right-angle) conflicts. Preliminary testing based on limited data showed
that estimated conflict frequencies were better than AADT for predicting frequencies of angle crashes. With
additional validation this could provide a low-cost and easy-to-use tool for traffic engineers to evaluate traffic
safety performance at signalized intersections.
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