A Wrong-Way Driving Crash Risk Reduction Approach for Cost-Effective Installation of Advanced Technology Wrong-Way Driving Countermeasures

A Wrong-Way Driving Crash Risk Reduction Approach for Cost-Effective Installation of Advanced Technology Wrong-Way Driving Countermeasures
复制标题

一种降低逆向驾驶碰撞风险的方法,以经济高效的方式安装先进技术逆向驾驶对策

DOI:
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发表时间:
2018
影响因子:
1.7
通讯作者:
H. Al
H. Al
中科院分区:
工程技术4区
文献类型:
--
作者:
Adrian Sandt;H. Al

文献摘要

被引文献

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在高速限制通行设施上逆向驾驶 (WWD) 是危险的。传统的标牌和路面标记并不总能防止醉酒或困惑的驾驶员以错误的方式进入这些设施。为了更好地提醒逆行司机,各机构可以考虑在出口坡道上配备先进技术(包括警示灯和检测装置)的 WWD 对策。然而,对于机构来说,在整个道路或走廊上安装这些对策的成本可能会很高。本文开发了一种创新的 WWD 碰撞风险 (WWCR) 降低方法,该方法由 WWCR 分段模型和优化算法组成,可用于帮助机构决定在何处安装 WWD 对策。该方法检查有限访问设施的各个部分,以确定先进技术 WWD 对策将根据机构的可用资源最大程度地减少 WWCR 的交汇处。佛罗里达州中部高速公路管理局收费公路网络展示了该方法的假设应用示例。此示例展示了 WWCR 减少方法如何帮助机构确定最佳投资水平和高风险地点。它还展示了与装备整个路段(节省 57%)或走廊(节省 83%)相比,优化算法如何显着节省成本。各机构可以通过添加约束来表示各种场景来定制算法,并使算法适用于从单一道路到全州系统的网络。全国范围内的机构可以利用这种减少 WWCR 的方法来帮助他们节省资源并优先考虑投资。
Wrong-way driving (WWD) is hazardous on high-speed limited access facilities. Traditional signage and pavement markings will not always prevent intoxicated or confused drivers from entering these facilities the wrong way. To better alert wrong-way drivers, agencies can consider WWD countermeasures equipped with advanced technologies (including warning lights and detection devices) on exit ramps. However, these countermeasures can be expensive for agencies to install on entire roadways or corridors. This paper develops an innovative WWD crash risk (WWCR) reduction approach consisting of a WWCR segment model and an optimization algorithm that can be used to help agencies decide where to install WWD countermeasures. The approach examines segments of limited access facilities to determine the interchanges where advanced technology WWD countermeasures will provide the greatest reduction in WWCR based on an agency’s available resources. A hypothetical example application of this approach is shown for the Central Florida Expressway Authority toll road network. This example shows how the WWCR reduction approach can help agencies identify the optimal investment level and high-risk locations. It also shows how the optimization algorithm can provide significant cost savings compared with equipping entire roadway segments (57% savings) or corridors (83% savings). Agencies can customize the algorithm by adding constraints to represent various scenarios and make the algorithm applicable for networks ranging from single roadways to statewide systems. This WWCR reduction approach could be utilized by agencies nationwide to help them save resources and prioritize investment.