论文标题
使用微观车辆轨迹数据探索对连续车道变化中驱动器的刺激效果
Exploring the stimulative effect on following drivers in a consecutive lane-change using microscopic vehicle trajectory data
论文作者
论文摘要
不当改变车道的行为可能导致交通流量的细分和各种类型的碰撞发生。这项研究调查了多个车辆改变车道的行为，并在连续改变车道的情况下对驱动器产生的刺激作用。数据集中的显微镜轨迹数据用于驱动行为分析。两次酌情改变车道的车辆组构成了连续改变车道的情况，不仅是距离和速度相关的因素，而且还构成了驾驶行为，而且还考虑了驱动行为，以检查对驾驶员的驾驶员的影响。连续改变巷道的情况。法拉特摩尔，基于三种监督的学习算法，建立了改变车道的实用程序预测模型，以检测不正确的车道改变的决定。结果表明，（1）连续改变车道行为对车道变换后的下车改变车辆具有显着的负面影响； （2）由于驾驶员的心理活动不同，在连续的车道变化情况下存在刺激效应及其影响是异质的； （3）效用预测模型可用于检测不当改变的决定。
Improper lane-changing behaviors may result in breakdown of traffic flow and the occurrence of various types of collisions. This study investigates lane-changing behaviors of multiple vehicles and the stimulative effect on following drivers in a consecutive lane-changing scenario. The microscopic trajectory data from the dataset are used for driving behavior analysis.Two discretionary lane-changing vehicle groups constitute a consecutive lane-changing scenario, and not only distance- and speed-related factors but also driving behaviors are taken into account to examine the impacts on the utility of following lane-changing vehicles.A random parameters logit model is developed to capture the driver psychological heterogeneity in the consecutive lane-changing situation.Furthermore, a lane-changing utility prediction model is established based on three supervised learning algorithms to detect the improper lane-changing decision. Results indicate that (1) the consecutive lane-changing behaviors have a significant negative effect on the following lane-changing vehicles after lane-change; (2) the stimulative effect exists in a consecutive lane-change situation and its influence is heterogeneous due to different psychological activities of drivers; and (3) the utility prediction model can be used to detect an improper lane-changing decision.
