基于激光数据的黄灯时刻驾驶员行为决策研究  

Research on driving behavior decision of driver at yellow light based on lidar data

作　　者：宋柱 SONG Zhu(School of Mechanical and Electrical Engineering,Hubei Light Industry Technology Institute,Wuhan 430000,Hubei,China)

机构地区：[1]湖北轻工职业技术学院机电工程学院,湖北武汉430000

出　　处：《农业装备与车辆工程》2024年第9期168-171,共4页Agricultural Equipment & Vehicle Engineering

摘　　要：由于闯黄灯导致的交通事故屡见不鲜且后果严重,研究黄灯时刻驾驶人的行为决策意义重大。利用激光雷达和摄像机采集在交叉口遇黄灯时的车辆动态数据,选取影响驾驶人决策的3个显著性因素——瞬时车速、与停车线距离和到达时间,建立二分类Logistic驾驶员行为决策模型,并验证模型的拟合度,基于研究结果提出降低驾驶员闯黄灯概率的辅助决策措施。Due to the frequent and serious consequences of traffic accidents caused by running yellow lights,studying the behavior and decision-making of drivers at yellow light moments is of great significance.Using Lidar and cameras to collect vehicle dynamic data when encountering yellow lights at intersections,three significant factors affecting driver decision-making,namely instantaneous vehicle speed,distance from the stop line,and arrival time,were selected to establish a binary logistic driver behavior decision-making model and verify the fitting degree of the established model;based on research results,auxiliary decision-making measures to reduce the probability of drivers running yellow lights were proposed.

关 键 词：闯黄灯 激光雷达 LOGISTIC模型 辅助对策 

分 类 号：U491.25[交通运输工程—交通运输规划与管理]