详情

Wrong-Way Driving Entry Points on interstate highways Using land-use Impact Assessment and 911 calls

项目名称：	Wrong-Way Driving Entry Points on interstate highways Using land-use Impact Assessment and 911 calls
摘要：	The intense severity of wrong-way driving (WWD) accidents is alarming for traffic management agencies and incentivizing the need for economical, convenient, and efficient management to ensure safety of motorists. Most of the WWD crashes are the result of intoxicated driving, where the driver out of consciousness takes the wrong entrance to highway and put other motorists into a life-threating danger. This study aims to identify WWD entry points of urban highway ramps and develop an analysis methodology. The methodology examines the origin and driving behavior of impaired drivers by utilizing a land-use impact assessment (alcohol-serving establishments (ASE) proximity to exit ramps) and 911 call and crash database. These entry points will help traffic control agencies to apply cost-effective countermeasures for detecting WWD in real time. Even though there are established WWD countermeasures exist in Bexar County highway such as- WWD sign, those countermeasures are not sufficient to solve the problem of WWD. The outcome of this research is to assist DOTs to reduce the number of WWD incidents in state highways. It will help the authorities to geolocate the potential hotspots of WWD in a specific region in which they can implement the warning WWD sensor countermeasure and alarm the motorists in their opposite way and call for law enforcement to intervene. Also, it will provide effective countermeasures that can be implemented region-wide and state-wide particularly at hot-spots zones with frequent incidents of WWD events.
状态：	Active
资金：	120001
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Transportation Consortium of South-Central States (Tran-SET)
项目负责人：	Mousa, Momen R
执行机构：	University of Texas at San Antonio
主要研究人员：	Dessouky, Samer
开始时间：	20220401
主题领域：	Highways；Operations and Traffic Management；Safety and Human Factors