The invention provides a self-adaptive control optimization method for an intersection in an intelligent network connection environment, and belongs to the technical field of intelligent traffic, and the method comprises the steps: obtaining a signal lamp state and an initial speed when a motorcade enters a speed guide region; according to the signal lamp state and the initial speed, based on a pre-trained signal control model, adopting a signal lamp timing strategy to guide the speed of the motorcade; the training of the signal control model comprises the step of training the signal control model by taking the delay minimization of the vehicle team passing through the intersection as a target. Speed guidance and signal control are performed according to the signal lamp state and the vehicle team condition, and a signal lamp timing strategy is introduced to reduce the pause time of the vehicle at the intersection, so that the vehicle can pass through the intersection without stopping or the stopping time is shortest, and the traffic efficiency is improved.
本发明提供了一种智能网联环境下交叉路口的自适应控制优化方法,属于智能交通技术领域,包括:获取车队进入速度引导区域时的信号灯状态以及初始速度;根据所述信号灯状态以及初始速度,基于预先训练的信号控制模型,采取信号灯定时策略,对车队进行速度引导;所述信号控制模型的训练包括:以车队通过交叉路口的延迟最小化为目标训练所述信号控制模型。本发明根据信号灯状态和车队情况进行速度引导和信号控制,引入信号灯定时策略,以减少车辆在交叉口的停顿时间,能够使车辆在交叉口实现不停车通过或停车时间最短,提高交通效率。
Adaptive control optimization method for intersection in intelligent network connection environment
一种智能网联环境下交叉路口的自适应控制优化方法
2025-01-21
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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