The invention relates to a full-scene vehicle scheduling method and system based on an unmanned container truck and a storage medium, and the method comprises the steps: U1, obtaining vehicle lane-level navigation route data information, vehicle movement track data information and vehicle anchor point data information based on the historical operation task data information of the unmanned container truck; and U2, based on the vehicle lane-level navigation route data information, the vehicle motion trail data information and the vehicle anchor point data information, predicting anchor point control information of the vehicle by adopting a vehicle multi-anchor point global scheduling algorithm to obtain predicted anchor point control data information of the vehicle. According to the method, the problems that some scenes are prone to traffic jam due to incomplete scene coverage, the scenes are not triggered during triggering or are not triggered during triggering, and scheduling execution is not accurate enough are solved, and the problems that the method is only limited to local scheduling and lacks a global scheduling concept are solved.
本发明涉及一种基于无人集卡的全场景车辆调度方法、系统及存储介质,所述方法包括:U1.基于无人集卡历史作业任务数据信息,获取车辆车道级导航路线数据信息、车辆运动轨迹数据信息和车辆锚点数据信息;U2.基于所述车辆车道级导航路线数据信息、车辆运动轨迹数据信息和车辆锚点数据信息,采用车辆多锚点的全局调度算法对车辆的锚点控制信息进行预测,得到预测后的车辆的锚点控制数据信息。本发明不仅解决场景覆盖不全导致某些场景容易堵车,触发时不该触发时触发了或该触发的时候没触发,调度执行不够准确的问题,而且解决了只局限于局部调度,缺乏全局调度概念的问题。
Full-scene vehicle scheduling method and system based on unmanned container truck, and storage medium
一种基于无人集卡的全场景车辆调度方法、系统及存储介质
2024-07-26
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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