Yan Xuedong, Liu Yang, Xu Yongcun
a MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University , Beijing , P. R. China.
Traffic Inj Prev. 2015;16(1):48-54. doi: 10.1080/15389588.2014.906038. Epub 2014 Sep 26.
Drivers' incorrect decisions of crossing signalized intersections at the onset of the yellow change may lead to red light running (RLR), and RLR crashes result in substantial numbers of severe injuries and property damage. In recent years, some Intelligent Transport System (ITS) concepts have focused on reducing RLR by alerting drivers that they are about to violate the signal. The objective of this study is to conduct an experimental investigation on the effectiveness of the red light violation warning system using a voice message.
In this study, the prototype concept of the RLR audio warning system was modeled and tested in a high-fidelity driving simulator. According to the concept, when a vehicle is approaching an intersection at the onset of yellow and the time to the intersection is longer than the yellow interval, the in-vehicle warning system can activate the following audio message "The red light is impending. Please decelerate!" The intent of the warning design is to encourage drivers who cannot clear an intersection during the yellow change interval to stop at the intersection.
The experimental results showed that the warning message could decrease red light running violations by 84.3 percent. Based on the logistic regression analyses, drivers without a warning were about 86 times more likely to make go decisions at the onset of yellow and about 15 times more likely to run red lights than those with a warning. Additionally, it was found that the audio warning message could significantly reduce RLR severity because the RLR drivers' red-entry times without a warning were longer than those with a warning.
This driving simulator study showed a promising effect of the audio in-vehicle warning message on reducing RLR violations and crashes. It is worthwhile to further develop the proposed technology in field applications.
驾驶员在黄灯亮起时对信号控制交叉口做出的错误决策可能导致闯红灯(RLR),而闯红灯事故会造成大量严重伤害和财产损失。近年来,一些智能交通系统(ITS)概念致力于通过提醒驾驶员即将违反信号灯来减少闯红灯行为。本研究的目的是对使用语音消息的闯红灯违规警告系统的有效性进行实验研究。
在本研究中,闯红灯音频警告系统的原型概念在高保真驾驶模拟器中进行建模和测试。根据该概念,当车辆在黄灯亮起时接近交叉口且到交叉口的时间长于黄灯持续时间时,车内警告系统可以激活以下音频消息:“红灯即将亮起。请减速!”警告设计的目的是鼓励那些在黄灯变化间隔内无法通过交叉口的驾驶员在交叉口停车。
实验结果表明,警告消息可将闯红灯违规行为减少84.3%。基于逻辑回归分析,未收到警告的驾驶员在黄灯亮起时做出通行决策的可能性比收到警告的驾驶员高约86倍,闯红灯的可能性高约15倍。此外,还发现音频警告消息可显著降低闯红灯的严重程度,因为未收到警告的闯红灯驾驶员的红灯进入时间比收到警告的驾驶员更长。
这项驾驶模拟器研究表明,车内音频警告消息在减少闯红灯违规行为和事故方面具有显著效果。值得在现场应用中进一步开发所提出的技术。