The invention provides a network-connected automatic driving multi-vehicle and traffic signal space domain distributed cooperative control method, and belongs to the technical field of traffic control, and the method specifically comprises the following steps: 1, predicting human driving vehicle tracks; 2, establishing a spatial domain-based network-connected autonomous vehicle and traffic signal cooperative control model; 3, parallel distributed calculation solution is carried out; and 4, repeating the steps until the solving result is converged to obtain the optimal control quantity, and controlling the networked automatic driving automobile and the signal. According to the method, an intelligent network connection automobile track planning model is established in a spatial domain and can be mutually coupled with a signal timing optimization model, the optimality of the cooperative control method is improved, meanwhile, the parallel distributed calculation method ensures the solving efficiency of the model, and the calculation efficiency is improved. And a technical support is provided for cooperative control of the networked autonomous vehicle and the traffic signal in a large-scale scene.

    本发明提供一种网联自动驾驶多车与交通信号空间域分布式协同控制方法,属于交通控制技术领域,具体包括以下步骤:1、预测人类驾驶车辆轨迹;2、建立基于空间域的网联自动驾驶汽车与交通信号协同控制模型;3、并行分布式计算求解;4、重复以上步骤,直至求解结果收敛得到最优控制量,并对网联自动驾驶汽车与信号进行控制。本发明在空间域上建立了智能网联汽车轨迹规划模型,能够与信号配时优化模型相互耦合,提高了协同控制方法的最优性,同时并行分布式的计算方法保证了模型的求解效率,为大规模场景下的网联自动驾驶汽车与交通信号协同控制提供了技术支撑。


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    Titel :

    Network-connected automatic driving multi-vehicle and traffic signal space domain distributed cooperative control method


    Weitere Titelangaben:

    一种网联自动驾驶多车与交通信号空间域分布式协同控制方法


    Beteiligte:
    ZHU JICHEN (Autor:in) / WANG HAORAN (Autor:in) / YANG XIAOGUANG (Autor:in) / HU JIA (Autor:in)

    Erscheinungsdatum :

    06.08.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS





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