详情

Evaluation of Near-Miss Crashes Using a Video-Based Tool

项目名称：	Evaluation of Near-Miss Crashes Using a Video-Based Tool
摘要：	Vision-based trajectory data provide useful information on the trajectories of roadway users (vehicles, pedestrians, bicycles) that could be used for analyzing roadway safety and users’ interactions. Several companies offer vision-based software that promise to identify near-miss crashes between vehicles, pedestrians and vehicles, or bicycles and vehicles, by estimating surrogate measures for near-misses through the trajectory data. However, the accuracy of these methods in terms of predicting near-misses has not been evaluated. Therefore, the objective of this research is to install a commonly-used video-based software, and evaluate its accuracy of predicting near-misses at a busy signalized intersection in the Lawrence, KS area. The main objective of this research is to evaluate a video-based tool offered by “Brisk Synergies” in terms of its accuracy of predicting near-misses at signalized intersections. The findings of this study will help KDOT and local transportation partners to decide whether to invest or not in video-based tools at signalized intersections.
状态：	Active
资金：	71500
资助组织：	Kansas Department of Transportation
项目负责人：	Buckley, Steven
执行机构：	University of Kansas Center for Research, Incorporated
开始时间：	20200701
预计完成日期：	20220228
主题领域：	Data and Information Technology；Highways；Operations and Traffic Management；Safety and Human Factors