The invention provides a vehicle-road cooperation speed control method based on multivariate data perception, and relates to the field of intelligent traffic, and the method comprises the steps: building a distributed vehicle-road cooperation network of a vehicle with the speed to be controlled, collecting the multivariate data of the vehicle with the speed to be controlled through the distributed vehicle-road cooperation network, carrying out the data synchronization of the multivariate data, and obtaining the synchronous multivariate data; constructing a graph neural network of the synchronous multivariate data to extract multivariate vehicle driving characteristics of the synchronous multivariate data, and analyzing the vehicle driving scene state of the vehicle with the speed to be controlled by using the trained vehicle scene analysis model; and constructing an adaptive speed decision model of the vehicle with the to-be-controlled speed, identifying the optimal speed parameter of the vehicle with the to-be-controlled speed by using the adaptive speed decision model, and executing vehicle-road cooperative speed control of the vehicle with the to-be-controlled speed based on the optimal speed parameter. The method has the beneficial effects that the optimal speed parameter is provided for the vehicle with the to-be-controlled speed in the vehicle-road cooperative control, so that the driving safety of the vehicle is improved.
本发明提供一种基于多元数据感知的车路协同速度控制方法,涉及智能交通领域,包括:建立速度待控制车辆的分布式车路协同网络,利用分布式车路协同网络采集速度待控制车辆的多元数据,对多元数据进行数据同步,得到同步多元数据;构建同步多元数据的图神经网络提取同步多元数据的多元车辆行驶特征,利用训练好的车辆场景分析模型分析速度待控制车辆的车辆行驶场景状态;构建速度待控制车辆的自适应速度决策模型,利用自适应速度决策模型识别速度待控制车辆的速度最优参数,基于速度最优参数执行速度待控制车辆的车路协同速度控制。本发明的有益效果为:在车路协同控制中为速度待控制车辆提供最佳速度参数,以提高车辆行驶的安全性。
Vehicle-road cooperation speed control method and system based on multivariate data perception
一种基于多元数据感知的车路协同速度控制方法及系统
2024-12-13
Patent
Electronic Resource
Chinese
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