Assessment of the Effectiveness of Wrong-Way Driving (WWD) Detection System
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2019-06-01
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Edition:Final, Feb 2013 to Feb 2015
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Abstract:Wrong-way Driving (WWD) presents one of the most serious traffic hazards on the highway system across the United States. According to the data from the National Highway Transportation Safety Administration (NHTSA) Fatality Analysis Reporting System (FARS), hundreds of fatal crashes are caused by WWD drivers yearly. This issue remains unsolved at many locations due to the high cost of installing and maintaining WWD prevention systems. Hence, a more cost-efficiency method to utilize the current infrastructure to identify the incident of WWDs and then find proper countermeasures. In this project, our research team aims to utilize the radar sensor data for WWD incident detection, using detected negative vehicle speeds as a basis. However, it shall be noted that the obtained datasets often contain false pulses and inaccurate detection information. To overcome this problem, this study proposes a screening algorithm for identifying the WWD incidents and potential WWD false alarms based on over 18-month data from the Utah Department of Transportation (UDOT). The algorithm contains three primary steps, preliminary data quality evaluation, threshold-based data assessment, and probability-based data screening. The algorithm is calibrated based on Utah police WWD records. Finally, the algorithm is implemented on three freeway segments in Salt Lake City area for a demonstration.
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