The invention provides a vehicle and road cloud collaborative decision framework based on a time window, and belongs to the field of vehicle and road cloud integrated collaborative decision, and the framework comprises the following steps: 1) calculating a feasible driving state space of a guided vehicle; 2) dividing a time window guide sequence; 3) obtaining the probability that the traffic signal is a green light in the feasible driving state space range at the last decision point; 4) calculating the costs of all time window guide sequences; and 5) optimizing an optimal time window guiding sequence, and transmitting the optimal time window guiding sequence to the guided vehicle. Compared with the prior art, the method has the advantages that the cooperative guidance decision in the'vehicle-road cloud 'integrated environment is completed based on the time window, the fault-tolerant capability of the'vehicle-road cloud' integrated cooperative decision is improved, the operation efficiency of a traffic system is improved, and the energy consumption and pollution of vehicle driving are reduced.
本发明提供一种基于时间窗的车路云协同决策框架,属于“车路云”一体化协同决策领域,包括以下步骤:1)计算受引导车辆的可行驾驶状态空间;2)划分时间窗引导序列;3)获取在最后一个决策点处的可行驾驶状态空间范围内,交通信号为绿灯的概率;4)计算所有时间窗引导序列的各项代价;5)优选最优时间窗引导序列,并传输至受引导车辆。本发明相对于现有技术,基于时间窗完成了“车路云”一体化环境下的协同引导决策,提高了“车路云”一体化协同决策的容错能力,增加了交通系统的运行效率,减少了车辆行驶的能耗与污染。
Vehicle and road cloud collaborative decision framework based on time window
一种基于时间窗的车路云协同决策框架
2025-04-04
Patent
Electronic Resource
Chinese
Vehicle speed control method based on vehicle-road cloud collaborative optimization
European Patent Office | 2021
|European Patent Office | 2024
|Digital reconstruction vehicle-road cloud collaborative automatic driving cloud control system
European Patent Office | 2024
|