The invention relates to an intersection cooperative passing method and system based on a port logistics L4 unmanned container truck, and the method comprises the steps: U1, enabling the unmanned container truck to execute an operation task at a port, collecting the driving track data information of the historical operation of a vehicle, obtaining the position data information of the vehicle in real time based on a vehicle-mounted positioning system, and obtaining the position data information of the vehicle; acquiring traffic condition data information of the intersection of the current road in real time based on a road side unit (RSU); and U2, based on the driving track data information of the historical operation of the vehicle and the position data information of the vehicle, adopting an improved crown porcupine optimization-convolution-bidirectional long and short term memory network-attention mechanism data regression prediction algorithm to predict a vehicle driving track point sequence. According to the method, the overall automation level can be provided, and adaptive adjustment and planning can be carried out, so that the fine control requirement of business is met, the overall operation efficiency is improved, the operation income is increased, and the development and operation human input cost is reduced.
本发明涉及一种基于港口物流L4无人集卡的路口协同通过方法及系统,所述方法包括:U1.无人集卡在港口执行作业任务,采集车辆的历史作业的行驶轨迹数据信息,基于车载定位系统实时获取车辆的位置数据信息,基于路侧单元RSU实时获取当前道路的路口的交通状况数据信息;U2.基于所述车辆的历史作业的行驶轨迹数据信息和所述车辆的位置数据信息,采用改进的冠豪猪优化‑卷积‑双向长短期记忆网络‑注意力机制数据回归预测算法对车辆行驶轨迹点序列进行预测。本发明不仅可以提供整体自动化水平,而且还可以进行自适应调节和规划,从而满足业务精细化控制需求,提升整体作业效率,增加运营收入,减少开发运营人力投入成本。
Intersection cooperative passing method and system based on port logistics L4 unmanned container trucks
一种基于港口物流L4无人集卡的路口协同通过方法及系统
2025-01-07
Patent
Electronic Resource
Chinese
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