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Determining Segment and Network Traffic Volumes from Video Data Obtained from Transit Buses in Regular Service: Developments and Evaluation of Approaches for Ongoing Use Across Urban Networks

项目名称：	Determining Segment and Network Traffic Volumes from Video Data Obtained from Transit Buses in Regular Service: Developments and Evaluation of Approaches for Ongoing Use Across Urban Networks
摘要：	Transit agencies around the world are increasingly mounting video cameras inside and outside their buses for liability, safety, and security reasons. Some of the cameras provide fields of view that allow observation of vehicles traveling on the surrounding roadways. Such video imagery could conceivably be used to estimate traffic volumes on roadway segments traversed by the transit buses. Transit buses are attractive platforms for acquiring the information that leads to traffic volume estimates, since a fleet of transit buses collectively covers most major surface streets in an urban area and the buses regularly and repeatedly cover the same roadway segments, which would allow for multiple, independent estimates of roadway segment flows across days and by time of day. Since the video cameras are already installed for other purposes, the costs of estimating traffic flows from video obtained from transit buses in regular service would be minimal. Therefore, traffic flows could be estimated with much greater geographic coverage, with much greater frequency, and with much lower cost than is presently available from existing traffic volume observation methods.
状态：	Active
资金：	116182
资助组织：	Carnegie Mellon University<==>Office of the Assistant Secretary for Research and Technology
项目负责人：	Kline, Robin
执行机构：	The Ohio State University
开始时间：	20200601
预计完成日期：	20220630
主题领域：	Data and Information Technology；Public Transportation；Vehicles and Equipment