The invention relates to a signalized intersection rear-end collision recognition method based on LiDAR point cloud, in particular to a road signalized intersection rear-end collision real-time recognition method based on LiDAR point cloud, and aims to solve the problems of low accuracy and insufficient reliability of a traffic conflict recognition result caused by difficulty in guaranteeing parameter precision and lack of consistency of critical values in a traffic conflict method. Obtaining point cloud data of the signalized intersection; processing the point cloud data to obtain vehicle track information; acquiring a traffic conflict index between the vehicles, and calculating a traffic conflict index value between any pair of front and back adjacent vehicles; the threshold value of each traffic conflict index is determined through a POT method and a PCD method, and if the proximity degree index of distance collision between two adjacent front and back vehicles is smaller than the threshold value or the strength index of the risk avoiding behavior is larger than the threshold value, it is considered that rear-end collision will occur; otherwise, it is considered that the rear-end collision does not occur. Belongs to the traffic engineering field.
基于LiDAR点云的信号交叉口追尾冲突识别方法,具体涉及一种基于LiDAR点云的道路信号交叉口追尾冲突实时识别方法,为解决交通冲突方法存在参数精度难以保证、临界值缺乏一致性,导致交通冲突的识别结果准确率低,可靠性不足的问题,获取信号交叉口的点云数据;对点云数据进行处理,得到车辆轨迹信息;获取车辆间的交通冲突指标,计算任意一对前后相邻的两个车辆间的交通冲突指标值;利用POT方法和PCD方法确定每个交通冲突指标的阈值,若前后相邻的两个车辆间的距离碰撞的接近程度指标小于阈值或避险行为的强度指标大于阈值,则认为会发生追尾冲突;否则,认为不会发生追尾冲突。属于交通工程领域。
Signal intersection rear-end collision identification method based on LiDAR point cloud
基于LiDAR点云的信号交叉口追尾冲突识别方法
2023-03-14
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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