The invention relates to the field of internet security service of traffic jam, in particular to a method for predicting traffic jam caused by abnormal driving of large vehicles, which comprises the following steps of: acquiring picture information and point cloud information of road traffic in real time by using a camera and radar equipment; processing the picture information and the point cloud information to obtain target information of each target, performing feature level fusion of a camera and radar equipment, and tracking and identifying the target; on the basis of the road traffic information, the abnormal driving behavior of the large vehicle is predicted and detected frontally, and the abnormal driving behavior of the large vehicle comprises the limitation of the overall speed of the rapid lane caused by illegal driving of the large vehicle into the rapid lane and congestion caused by anchoring of the large vehicle on the main road; and when an abnormal behavior of the large vehicle is detected, inputting the traffic information characteristics into the forward prediction model subjected to deep learning training for calculation to obtain a traffic jam prediction result. According to the invention, traffic problems can be effectively reduced as soon as possible after congestion occurs.
本发明涉及交通拥堵的互联网安全服务领域,具体涉及一种预测由大型车辆异常驾驶引发的交通拥堵方法,包括利用摄像头和雷达设备实时采集道路交通的图片信息和点云信息;对图片信息和点云信息进行处理,得到各个目标的目标信息,再经过摄像头和雷达设备的特征级融合,并对目标进行跟踪和识别;基于道路交通信息,进行正面预测检测大型车辆异常驾驶行为,大型车辆异常驾驶行为包括大型车辆违规驶入快速车道导致快速车道整体车速受限和大型车辆在主干道上抛锚造成拥堵;当检测到大型车辆异常行为时,将交通信息特征输入经过深度学习训练的正向预测模型进行计算,得到交通拥堵预测结果。本发明在发生拥堵后及早的提供有效减少交通问题的发生。
Method for predicting traffic jam caused by abnormal driving of large vehicle
一种预测由大型车辆异常驾驶引发的交通拥堵方法
2024-08-02
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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