The embodiment of the invention discloses a multi-intersection cooperative control method and device for networked automatic driving, electronic equipment and a storage medium. The method comprises the following steps: acquiring state information of a target intersection at the current moment, wherein the state information comprises real-time traffic information of the target intersection, a vehicle state of a target vehicle driving to the target intersection and occupation information of the target intersection; determining the maximum passing speed of the target vehicle according to the state information; determining a target driving sequence of the target vehicle passing through the target intersection under the state information by using a deep Q learning network; planning the target speeds of the plurality of target vehicles passing through the target intersection according to the target driving sequence according to the maximum passing speed, wherein the target speed is the speedof the target vehicle passing through the target intersection under the condition that the target vehicle does not exceed the maximum passing speed and does not collide with other vehicles; and sending the target speed to the target vehicle to control the target vehicle to drive at the target speed.
本公开实施例公开了一种面向网联自动驾驶的多路口协同控制方法、装置、电子设备及存储介质,方法包括:获取目标路口的当前时刻的状态信息,状态信息包括目标路口的实时交通信息、往目标路口行驶的目标车辆的车辆状态和目标路口的占用信息;根据状态信息确定目标车辆的最大通行速度;利用深度Q学习网络确定在状态信息下目标车辆通过目标路口的目标行驶顺序;根据最大通行速度规划多个目标车辆按照目标行驶顺序通过目标路口的目标速度;目标速度为目标车辆在不超过最大通行速度、且不与其他车辆发生碰撞的情况下通过目标路口的速度;将目标速度发送至目标车辆,以控制目标车辆按照目标速度行驶。
Multi-intersection cooperative control method and device, electronic equipment and storage medium
多路口协同控制方法、装置、电子设备及存储介质
2020-06-19
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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