了解驾驶员的守法行为:对延长黄灯间隔时间的数据驱动评估

Pouya Jalali Khalilabadi, Abolfazl Karimpour, Yao-Jan Wu, Simon T. Ramos
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摘要

闯红灯(RLR)行为在信号灯控制的交叉路口构成重大风险,并已成为交叉路口相关碰撞事故的主要原因。从 2014 年到 2020 年,菲尼克斯大都会区与闯红灯相关的死亡人数为 113 人,受伤人数为 9320 人。为了有效缓解 RLR 违规行为,维护所有道路使用者的安全,必须调查当地交叉口的 RLR 行为,评估不同信号配时参数(如黄灯间隔)对 RLR 违规频率的影响,并最终确定有效的应对措施。本研究调查了更新黄灯间隔对闯红灯频率的影响。我们精心挑选了凤凰城内的 12 个交叉路口作为研究地点。然后,安装了智能传感器来收集各种类型的数据,如信号配时参数、车辆计数和闯红灯数据。根据 ITE 2020 指南,对每个交叉口的黄灯间隔进行了调整。通过前后综合实验设计,考察了增加黄灯间隔对 RLR 违规行为的影响。前后研究结果表明,增加黄灯间隔后,通过和左转动作的 RLR 违规平均频率分别大幅降低了 83% 和 72%。这项研究的结果有助于为交通机构提供信息,使其能够采用基于证据的信号配时策略,从而提高交叉口的安全性并有效减少违反 RLR 的情况。
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Understanding Drivers' Compliance Behavior: Data-Driven Assessment of Longer Yellow Intervals
Red-light running (RLR) behavior poses significant risks at signalized intersections and has emerged as a leading cause of intersection-related crashes. The Phoenix metropolitan area had 113 RLR-related fatalities and 9,320 injuries from 2014 to 2020. To effectively mitigate RLR violations and uphold the safety of all road users, it is crucial to investigate RLR behavior at local intersections, evaluate the impact of different signal timing parameters—such as the yellow interval—on the frequency of RLR violations, and, finally, identify effective countermeasures. This study investigated the effect of updating the yellow interval on the frequency of red-light violations. Twelve intersections within the City of Phoenix were carefully selected as study sites. Then, smart sensors were installed to collect various data types, such as signal timing parameters, the vehicle count, and RLR violation data. Based on the ITE 2020 guidelines, yellow intervals were adjusted at each intersection. The effects of increased yellow intervals on RLR violations were examined by utilizing a comprehensive experimental before-and-after design. The before-and-after study results indicated that increasing the yellow intervals significantly reduced the average frequency of RLR violations for both through and left-turn movements by 83% and 72%, respectively. The results of this research are instrumental in informing transportation agencies, enabling them to adopt evidence-based approaches to signal timing strategies that enhance intersection safety and effectively reduce RLR violations.
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