The stop/go decisions at signalized intersections are closely related to driving speed during signal change intervals. The speed during stop/go decision-making has a significant influence on the dilemma area, resulting in changes of stop/go decisions and high complexity of the decision-making process. Considering that traffic delays and vehicle exhaust pollution are mainly caused by queuing at intersections, the stop-line passing speed during the signal change interval will affect both vehicle operation safety and the atmospheric environment. This paper presents a comparative study on drivers’ stop/go behaviors when facing a transition signal period consisting of 3 s green flashing light (FG) and 3 s yellow light (Y) at rural high-speed intersections and urban intersections. For this study, 1,459 high-quality vehicle trajectories of five intersections in Shanghai during the transition signal period were collected. Of these five intersections, three are high-speed intersections with a speed limit of 80 km/h, and the other two are urban intersections with a speed limit of 50 km/h. Trajectory data of these vehicle samples were statistically analyzed to investigate the general characteristics of potential influencing factors, including the instantaneous speed and the distance to the intersection at the start of FG, the vehicle type, and so on. Decision Tree Classification (DTC) models are developed to reveal the relationship between the drivers’ stop/go decisions and these possible influencing factors. The results indicate that the instantaneous speed of FG onset, the distance to the intersection at the start of FG, and the vehicle type are the most important predictors for both types of intersections. Besides, a DTC model can offer a simple way of modeling drivers’ stopping decision behavior and produce good results for urban intersections.

中文翻译：

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基于决策树分类模型的信号交叉口驾驶员起停行为比较研究

信号交叉口的停车/驶离决策与信号变化间隔期间的行驶速度密切相关。停止/执行决策过程中的速度对困境区域具有重大影响，从而导致停止/执行决策的更改以及决策过程的高度复杂性。考虑到交通延误和车辆尾气污染主要是由交叉路口排队造成的，因此信号变化间隔期间的停车线通过速度将影响车辆的运行安全和大气环境。本文针对农村高速路口和城市路口面对由3 s绿灯（FG）和3 s黄灯（Y）组成的过渡信号周期，对驾驶员的停车/走行行为进行了比较研究。对于这项研究，在过渡信号期间，收集了上海五个交叉路口的459条高质量车辆轨迹。在这五个路口中，三个是限速80 km / h的高速路口，另外两个是限速50 km / h的城市路口。对这些车辆样本的轨迹数据进行了统计分析，以研究潜在影响因素的一般特征，包括瞬时速度和在FG开始时到交叉口的距离，车辆类型等。开发了决策树分类（DTC）模型，以揭示驾驶员的停车决策与这些可能的影响因素之间的关系。结果表明，FG的瞬时速度，FG起点到交叉点的距离，和车辆类型是两种交叉口最重要的预测指标。此外，DTC模型可以提供一种简单的方法来建模驾驶员的停车决策行为，并为城市交叉口产生良好的结果。