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原文传递 An optimization approach for deployment of intelligent transportation systems wrong-way driving countermeasures

题名：	An optimization approach for deployment of intelligent transportation systems wrong-way driving countermeasures
正文语种：	英文
作者：	Adrian Sandt;Haitham Al-Deek
作者单位：	University of Central Florida (UCF)
关键词：	Countermeasures; limited access facilities; optimization; risk modeling; wrong-way driving
摘要：	The nature of wrong-way driving (WWD) crashes on limited access facilities makes it difficult for agencies to combat them effectively. WWD countermeasures equipped with Intelligent Transportati on Systems (ITS) tech no logies, such as war ning lights and detection devices, have been proven to reduce WWD. However, agencies often cannot deploy these ITS countermeasures at all exit ramps due to their expense. This paper discusses an innovative WWD countermeasure optimization approach to help agencies identify the optimal deployment locations based on available resources. The approach consists of a WWD crash risk (WWCR) model and a WWD countermeasures optimization algorithm. The WWCR model uses non-crash WWD eve nts, interchange desig ns, and traffic volumes to predict the n umber of WWD crashes on multi-exit segments of limited access facilities. Then, the optimization algorithm uses the model results to identify the best exits for ITS countermeasure deployment based on WWCR reduction, available resources, and other applicable constraints. This approach was applied to the Florida's Turnpike Enterprise (FTE) toll road network. Twenty-four seg-ments were identified as WWD hotspots due to high WWCR. Three different optimization seenarios were tested to show how different constraints affect the results. These seenarios resulted in 38% to 41% of the maximum possible WWCR reducti on by equippi ng only 39 of the 196 FTE ramps (20%) and could help FTE better utilize its in vestment by 36% compared to only equippi ng ramps in the ide ntified 24 WWD hotspots. Other agencies could pers onal-ize this approach based on their available resources, and preferred WWD countermeasures to achieve similar benefits.
出版日期：	2020
出版年：	2020
期刊名称：	Journal of Intelligent Transportation Systems Technology Planning and Operations
卷：	Vol24
期：	No01-06
页码：	40-53