The invention provides an intelligent networked vehicle state vector calculation method based on vehicle-road information coupling. According to the method, a V2X-based multi-lane road segment scene is built, and a vehicle multi-lane space-time trajectory optimization method based on the V2X-based multi-lane road segment scene is designed based on the scene. According to the method, the V2X-basedvehicle space-time trajectory is generated by combining the current state information of the vehicle, the environment information near the vehicle, the signal timing information of the downstream of the road section and the like. According to the method, the space-time track of the passing vehicles in the road section can be optimized and generated in real time according to different road environments and traffic states; the mutual cooperation capability between vehicles is improved, the safety of passing through a road section and the vehicle passing efficiency of an intersection are improved, the energy consumption level of the vehicles is reduced, and a novel solution and a theoretical basis are provided for ensuring the road traffic safety and improving the travel efficiency.
本发明提供了一种基于车路信息耦合的智能网联汽车状态向量计算方法,本发明建立了基于V2X的多车道路段场景,并以此为基础设计了车辆多车道时空轨迹优化方法。该方法结合了车辆当前的状态信息、车辆附近的环境信息以及路段下游的信号配时信息等,生成基于V2X的车辆时空轨迹。该方法可根据不同的道路环境和交通状态实时优化及生成路段内通行车辆的时空轨迹,增加了车辆间的相互协作能力,提升了通过路段的安全性以及交叉口的车辆通行效率,减少了车辆的能源消耗水平,为保证道路交通安全,提高出行效率提出了新的解决方案和理论依据。
Intelligent networked vehicle state vector calculation method based on vehicle-road information coupling
一种基于车路信息耦合的智能网联汽车状态向量计算方法
2020-11-06
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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