The method comprises the steps that S1, a cloud platform database is established, S1.3, an ID is allocated to each vehicle in a static road environment model, a corresponding archive library is established according to the IDs, the vehicles comprise automatic driving vehicles and non-automatic driving vehicles, the automatic driving vehicles are allocated with permanent IDs, the non-automatic driving vehicles are allocated with temporary IDs, and the cloud platform database is established according to the temporary IDs; when the non-autonomous vehicle is driven out of the whole control area for one week, the cloud platform automatically deletes the temporary ID and the corresponding archive library of the non-autonomous vehicle; s2, determining a local path plan of the controlled vehicle; according to the invention, the automatic driving vehicle and the non-automatic driving vehicle are endowed with the ID, the matched archive library is established, and the data of the non-automatic driving vehicle are deleted regularly according to the rule, so that the database is ensured not to store excessive useless information, and rapid management, application, transmission and updating between the edge computing center and the cloud platform are facilitated.
路端主控的车路云协同自动驾驶控制方法和方法,包括S1、搭建云端平台数据库:S1.3、为静态道路环境模型中的每辆车分配I D并依据ID建立对应的档案库,车辆包括自动驾驶车辆和非自动驾驶车辆,自动驾驶车辆分配有永久ID,非自动驾驶车辆分配临时I D,当非自动驾驶车辆驶出整个控制区域1周后,云端平台自动删除该非自动驾驶车辆的临时ID和对应档案库;S2、确定受控车辆的局部路径规划;本发明通过为自动驾驶车辆和非自动驾驶车辆赋予I D,并建立匹配的档案库,并且非自动驾驶车辆的数据定期按照规则删除,保证数据库不会储存过多无用信息,便于边缘计算中心、云端平台之间快速管理、应用、传输更新。
Vehicle-road cloud cooperative automatic driving control method of road end master control
路端主控的车路云协同自动驾驶控制方法
2023-09-29
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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