Evaluation of Near-Miss Crashes Using a Video-Based Tool
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2023-11-01
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Edition:Final Report July 2020 — February 2022
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Abstract:This research investigated the prediction accuracy of a video-based tool developed by Transoft Solutions for predicting near-miss crashes at signalized intersections. The research team selected two signalized intersections in Overland Park, Kansas, and collected two weeks of video data from both locations. Only weekday data were collected for the two weeks in February and March 2021. The data were provided to Transoft Solutions, and analyzed results were accessed from the vendor website. Approximately 10% of the data were sampled for manual validation, which included drawing vehicle trajectories and conflict spots on top of the computer screen and measuring time manually in milliseconds. Both post-encroachment time (PET) and time-to-collision (TTC) data were validated based on three conflict categories (critical conflicts, minor conflicts, and potential conflicts) and three weather and traffic conditions (rainy peak condition, sunny peak condition, and sunny off-peak condition).
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