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Intended to assist agencies responsible for incident management activities on public roadways to improve their programs and operations.Organized into three major sections: Introduction to incident management; organizing, planning, designing and implementing an incident management program; operational and technical approaches to improving the incident management process.
Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the ph...
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The primary objectives of this research project were: (1) to develop an active advance warning device (AAWD) comprised of an actuated flashing beacon supplement to a conventional SCHOOL BUS STOP AHEAD sign (S3-1) and (2) to evaluate its effect on driver performance and safety through school bus loading and unloading zones. Secondary objectives were to summarize system components and costs, develop an activation strategy, review the liability risk, review national experience related to safety, and provide guidance regarding specifications and use in Texas. With respect to safety, 37 of 46 studies reported a positive effect resulting from AAWDs. Findings from field studies conducted in Texas a...