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信号交叉口安全是交通领域的重点研究内容,在交叉口处频频发生的闯红灯行为,严重影响交叉口安全。为了深入分析交叉口闯红灯行为的影响因素,本文基于高精度线圈检测器和信号灯事件数据,考虑研究区域内线圈检测器的布置情况,提出基于停车线检测器数据和信号灯数据的交叉口驾驶行为识别方法,从高精度数据中识别出车辆闯红灯行为数据,并利用下游入口检测器数据对交叉口车辆行为进行验证。在此基础上,对影响闯红灯频次的各个因素进行分析,分析结果显示车辆到达时刻、速度、车头时距、与相邻直行车道车头时距,以及周期时长等因素对交叉口车辆闯红灯频次有显著影响。
The safety of signalized intersections is a key research topic in the field of transportation. The frequent red light running at intersections seriously affects the safety of intersections. In order to deeply analyze the influencing factors of red light behavior at intersections, based on the data of high-precision coil detectors and signal lights, considering the arrangement of coil detectors in the study area, this paper presents the behavior of intersection driving behavior identification based on the data of parking line detectors and signal lights Method to identify vehicle red light behavior data from high-precision data and to validate vehicle behavior at the intersection using downstream inlet detector data. On this basis, the factors influencing the frequency of running a red light are analyzed. The analysis results show that the frequency of red light passing through the vehicles at the intersections is significant due to such factors as the time of arrival, the speed, the headway, the headway of adjacent straight-ahead lanes and the cycle duration influences.