The goal of this research is to assist the Federal Transit Administration in facilitating the deployment of systems to mitigate transit bus rear-end collisions. This program specifically focused on active sensor rear impact collision warning systems (RICWS). Transit bus rear-end crashes are the most frequent occurring type of collision, accounting for approximately 36 percent of all incidents, with an associated average cost of $54,455 per crash. The preponderance of crashes occurred with buses stopped during daylight hours, good weather conditions, traversing a straight path, and the striking vehicle attempting no corrective action. A testbed RICWS data collection system was designed and built which included a recording system, digital video, a laser front-end sensor, and a light bar warning system to get the following vehicles attention. The RICWS was mounted on two Ann Arbor Transportation Authority buses which collected data from March - October 2003 over the regular bus routes. Three warning algorithms (CAMP, 0.225 G and 0.3 G threshold) were field tested. All algorithms were effective in causing the following vehicle drivers to modify their driving behavior to a safer manner. As a result of this program, a set of comprehensive RICWS specifications were generated as well as recommended next steps.


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