The invention discloses a vehicle collision risk prediction method based on trajectory data, and belongs to the field of traffic safety evaluation. The rapid development of the Internet of Vehicles and machine learning technology, the development of traffic construction towards intelligence, the prediction of risks in advance by vehicles and the active intervention become possible, the imminent risks are predicted in real time according to the states of the vehicles in the running process, the active vehicle safety early warning is carried out, and the method is very important for guaranteeing the life and property safety of drivers. A traditional vehicle collision early warning method is poor in timeliness, small in data quality and data size and prone to being affected by subjective factors of a recorder. According to the invention, the trajectory data is utilized to predict the safety risk possibly caused by the following behavior in the running process of the vehicle in advance, and the method has a theoretical support effect on the single-vehicle-level early warning applied to the background of the vehicle network technology.
一种基于轨迹数据的车辆碰撞风险预测方法属于交通安全评价领域。车联网和机器学习技术的快速发展,交通建设越来越向着智能化发展,车辆提前预测风险并主动干预成为了可能,实时根据车辆运行过程中的状态预测即将发生的风险并进行主动的车辆安全预警,对于保障驾驶员生命财产安全至关重要。传统的车辆碰撞预警的方法时效性差、数据质量和数据量较少、易受记载人主观因素的影响。本发明利用轨迹数据提前预测车辆在运行过程中由于跟驰行为可能发生的安全风险,本发明对于应用于车辆网技术背景下的车辆单车级预警具有理论支撑的作用。
Vehicle collision risk prediction method based on trajectory data
一种基于轨迹数据的车辆碰撞风险预测方法
2023-01-10
Patent
Elektronische Ressource
Chinesisch
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