基于信号灯控制的交叉路口智能网联车辆协同通行方法研究  

Research on the Method of Intelligent Networking Vehicle Cooperative Traffic at Intersections Based on Signal Light Control

作　　者：毛晗[1] 姚建盛 郑南豆 MAO Han;YAO Jiansheng;ZHENG Nandou(Department of Intelligent Manufacturing Engineering,Meizhouwan Vocational Technology College,Putian 351119,China)

机构地区：[1]湄洲湾职业技术学院智能制造工程系,福建莆田351119

出　　处：《太原学院学报（自然科学版）》2022年第4期59-64,共6页Journal of TaiYuan University:Natural Science Edition

基　　金：福建省教育厅科学研究项目(JAT171116)。

摘　　要：在我国道路交通中,存在着诸多交通冲突区域,交通冲突区域严重影响了车辆的通行效率、安全性和驾驶体验。在智能网络环境下,基于信号灯控制的交叉路况,提出了一种遗传算法下改进的交通信号优化控制模型,针对交通信号时长进行优化,能够有效降低车辆在交叉路口的停车次数和产生时延,提高车辆协同通行效率,降低交通冲突区域内发生车辆安全事故的频率,具有良好的实践应用意义。In China’s road traffic,there are many traffic conflict areas,which seriously affecttraffic efficiency,safety performance and driving experience.In this paper,under the intelligent networking environment,based on road conditions controlled by signal lights,an improved traffic signal optimization control model under genetic algorithm is proposed.This improved model can effectively reduce stops and stop delays of vehicles at intersections,improve the efficiency of vehicle cooperative traffic,and reduce the frequency of traffic accidents in the traffic conflict area.Thesefindings are of.some practical value toeffective trafficcontrol.

关 键 词：智能网联 信号灯控制 模型优化 交通协调控制 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]