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Statewide Application of Wrong-Way Driving Crash Risk Modeling and Countermeasures Optimization Algorithm to Identify Optimal Locations for Countermeasure Deployment on Florida Limited Access Facilities
Transportation Research Record: Journal of the Transportation Research Board ( IF 1.6 ) Pub Date : 2021-01-15 , DOI: 10.1177/0361198120986562
Adrian Sandt 1 , Haitham Al-Deek 1 , Patrick Blue 1 , John McCombs 1
Affiliation  

Wrong-way driving (WWD) crashes can have significant impacts on freeway safety and operations. Deploying intelligent transportation systems (ITS) WWD countermeasures at freeway exit ramps can effectively reduce WWD crash risk (WWCR), but these countermeasures are expensive. In this paper, a WWCR segment model and WWD countermeasures optimization algorithm are developed for all Florida limited access facilities (56 roadways with 1,375 exits) to identify the optimal locations for ITS countermeasure deployment. These were previously developed for specific toll-road networks within Florida, but never for a statewide network. Multiple WWCR models were investigated, with the final Poisson model using four-exit segments and 5 years of WWD event data. This model showed that more WWD events and higher crossing road traffic volumes increased WWCR, while certain interchange designs increased or decreased WWCR. Sixty-three segments containing 169 exit ramps without ITS WWD countermeasures were identified as WWD hotspots; these ramps were compared with the 169 ramps with the highest WWCR selected by the optimization algorithm. The algorithm selected 96 ramps not in the hotspots (improved resource utilization of 56.8%) and provided a 38.6% increase in WWCR reduction. Comparing WWD detection and turnaround data from 31 sites with rectangular flashing beacon ITS countermeasures to the optimization indicated a significant positive association between WWCR and turnaround percentage (higher WWCR at sites with lower turnaround percentage), verifying the accuracy of the optimization. By showing the transferability, scalability, accuracy, and benefits of this approach, this paper can help agencies reduce WWD and improve freeway safety and operations.



中文翻译:

错误道路驾驶事故风险建模和对策优化算法在全州的应用,以识别佛罗里达限制访问设施上对策部署的最佳位置

错误驾驶(WWD)事故可能会对高速公路的安全和运营产生重大影响。在高速公路出口匝道处部署智能交通系统(ITS)WWD对策可有效降低WWD撞车风险(WWCR),但是这些对策非常昂贵。在本文中,为佛罗里达州的所有有限出入设施(56条道路和1,375个出口)开发了WWCR段模型和WWD对策优化算法,以识别ITS对策部署的最佳位置。这些以前是为佛罗里达州的特定收费公路网络开发的,但从未为全州范围的网络开发。研究了多个WWCR模型,最终的Poisson模型使用四个出口段和5年的WWD事件数据。该模型表明,更多的WWD事件和更高的过路交通量增加了WWCR,而某些互换设计会增加或减少WWCR。没有ITS WWD对策的包含169个出口坡道的63个路段被确定为WWD热点;将这些斜坡与优化算法选择的具有最高WWCR的169个斜坡进行比较。该算法选择了不在热点中的96个坡道(提高了56.8%的资源利用率),并减少了38.6%的WWCR。用矩形闪烁信标比较来自31个站点的WWD检测和周转数据ITS对策与优化结果表明WWCR与周转百分比之间存在显着的正相关关系(周转百分比较低的站点中WWCR较高),从而验证了优化的准确性。通过显示此方法的可传递性,可伸缩性,准确性和优势,

更新日期:2021-01-18
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