a Virginia Transportation Research Council , Charlottesville , Virginia.
b The Korea Transport Institute , Sejong , Republic of Korea.
Traffic Inj Prev. 2018 Jan 2;19(1):1-8. doi: 10.1080/15389588.2017.1328551. Epub 2017 Jun 21.
The conflicts among motorists entering a signalized intersection with the red light indication have become a national safety issue. Because of its sensitivity, efforts have been made to investigate the possible causes and effectiveness of countermeasures using comparison sites and/or before-and-after studies. Nevertheless, these approaches are ineffective when comparison sites cannot be found, or crash data sets are not readily available or not reliable for statistical analysis. Considering the random nature of red light running (RLR) crashes, an inventive approach regardless of data availability is necessary to evaluate the effectiveness of each countermeasure face to face.
The aims of this research are to (1) review erstwhile literature related to red light running and traffic safety models; (2) propose a practical methodology for evaluation of RLR countermeasures with a microscopic traffic simulation model and surrogate safety assessment model (SSAM); (3) apply the proposed methodology to actual signalized intersection in Virginia, with the most prevalent scenarios-increasing the yellow signal interval duration, installing an advance warning sign, and an RLR camera; and (4) analyze the relative effectiveness by RLR frequency and the number of conflicts (rear-end and crossing).
All scenarios show a reduction in RLR frequency (-7.8, -45.5, and -52.4%, respectively), but only increasing the yellow signal interval duration results in a reduced total number of conflicts (-11.3%; a surrogate safety measure of possible RLR-related crashes). An RLR camera makes the greatest reduction (-60.9%) in crossing conflicts (a surrogate safety measure of possible angle crashes), whereas increasing the yellow signal interval duration results in only a 12.8% reduction of rear-end conflicts (a surrogate safety measure of possible rear-end crash).
Although increasing the yellow signal interval duration is advantageous because this reduces the total conflicts (a possibility of total RLR-related crashes), each countermeasure shows different effects by RLR-related conflict types that can be referred to when making a decision. Given that each intersection has different RLR crash issues, evaluated countermeasures are directly applicable to enhance the cost and time effectiveness, according to the situation of the target intersection. In addition, the proposed methodology is replicable at any site that has a dearth of crash data and/or comparison sites in order to test any other countermeasures (both engineering and enforcement countermeasures) for RLR crashes.
驾驶者在信号灯显示红灯时进入交叉口所产生的冲突已成为一个全国性的安全问题。由于其敏感性,人们一直在努力通过对比地点和/或前后研究来调查可能的原因和对策的有效性。然而,当无法找到对比地点,或者碰撞数据集不可用或无法进行统计分析时,这些方法是无效的。考虑到闯红灯(RLR)事故的随机性,无论数据可用性如何,都需要一种创新的方法来面对面评估每种对策的有效性。
本研究的目的是:(1)回顾与 RLR 和交通安全模型相关的文献;(2)提出一种实用的方法,通过微观交通仿真模型和替代安全评估模型(SSAM)评估 RLR 对策;(3)将提出的方法应用于弗吉尼亚州的实际信号交叉口,采用最常见的场景-延长黄灯信号间隔时间、安装提前警告标志和 RLR 相机;(4)通过 RLR 频率和冲突数量(追尾和交叉)分析相对有效性。
所有场景均显示 RLR 频率降低(分别为-7.8%、-45.5%和-52.4%),但只有延长黄灯信号间隔时间才能减少总冲突数量(可能与 RLR 相关的碰撞的替代安全措施减少 11.3%)。RLR 相机在交叉冲突方面的减少幅度最大(可能与角度碰撞相关的 RLR 相关碰撞的替代安全措施减少 60.9%),而延长黄灯信号间隔时间只能减少 12.8%的追尾冲突(可能与追尾碰撞相关的替代安全措施)。
虽然延长黄灯信号间隔时间是有利的,因为这可以减少总冲突(可能与 RLR 相关的所有碰撞),但每种对策在 RLR 相关冲突类型方面表现出不同的效果,这在做出决策时可以参考。鉴于每个交叉口都有不同的 RLR 碰撞问题,根据目标交叉口的情况,评估对策可以直接应用于提高成本和时间效益。此外,该方法可以在任何缺乏碰撞数据和/或对比地点的地点复制,以便测试任何其他对策(工程和执法对策)对于 RLR 碰撞。