The invention provides an intelligent vehicle-road cooperation method and system, and the method is applied to a server, and comprises the steps: obtaining the information of vehicles in and nearby the position of a target vehicle, and the information of a road; inputting the vehicle information and the road information into a vehicle-vehicle cooperative motion model to predict motion information of the target vehicle and motion information of nearby vehicles; inputting the motion information of the target vehicle and the motion information of the nearby vehicles into a vehicle-road collaborative optimization model to obtain an optimal solution of the model; according to the model optimal solution, decision information corresponding to the model optimal solution is matched from a decision knowledge base, and the decision information is used for controlling an operation strategy of the target vehicle. By adopting the method, the problem of vehicle-vehicle and vehicle-road mass multi-source heterogeneous data fusion is solved, vehicle-road collaborative optimization is realized, traffic guidance is realized, vehicle driving safety is ensured, and the purpose of forming a vehicle-road collaborative cluster intelligent system is achieved.
本申请提供一种智能车路协同方法和系统,方法应用于服务器中,包括:获取目标车辆所处位置中,附近车辆信息以及道路信息;将车辆信息以及道路信息输入至车车协同运动模型,以预测目标车辆的运动信息以及附近车辆的运动信息;将目标车辆的运动信息以及附近车辆的运动信息输入至车路协同优化模型,以得到模型最优解;根据模型最优解,从决策知识库中匹配模型最优解对应的决策信息,决策信息用于控制目标车辆的运行策略。本申请通过采用上述方法,解决车车、车路海量多源异构数据融合问题,实现车路协同优化,实现交通诱导,保证车辆驾驶安全,达到形成车路协同群集智能体系的目的。
Intelligent vehicle-road cooperation method and system
智能车路协同方法和系统
2023-08-11
Patent
Electronic Resource
Chinese
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