Development of Traffic Video Analysis Tool for Highway Safety Performance Evaluation
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2024-01-01
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Edition:Final Report
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Abstract:Recent advances in computer vision techniques have enabled the use of traffic video data for valuable surrogate safety measures to improve highway safety evaluations. However, few tools specifically target abnormal traffic events like wrong-way driving (WWD) or illegal left turns. This research aims to develop a cost-effective video analytic tool, operational on simpler hardware, focusing on two application domains: (1) detecting WWD incidents at interchange terminals, and (2) identifying traffic conflicts at unsignalized intersections. This research utilized extensive traffic video data for calibration, validation, and conducting case studies of the tool. The data comprised over 400 hours of footage from portable cameras at 14 partial cloverleaf interchange terminals for WWD incident detection and 72 continuous hours of video from seven unsignalized intersections for illegal left turn analysis. Additional data from fixed detection cameras, including 14 months of WWD incidents and 24 hours of traffic violation monitoring, were also incorporated.
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