基于车流量的智能交通信号优化控制研究

摘要

道路交叉口是城市交通网络的关键组成部分,其通行效率直接决定了城市交通网络的通行能力.为了提高城市交通路网的通行能力,缓解交通拥堵,根据相邻交叉路口车流量具有相关性的特点,提出一种基于车流量的智能交通信号控制方法.建立基于门限服务策略的交通灯轮询控制模型,利用马尔科夫链和概率母函数分析了交叉口车辆平均排队长度和信号灯配时方案,并根据实际交通情况进行仿真实验.结果表明,基于车流量的智能交通信号控制比传统的固定配时控制更加合理,能有效地降低车辆通过交叉口时的平均延误时长和排队长度,提高通行效率.%The traffic intersection is the key component of urban traffic network and its traffic efficiency directly determines the traffic capacity of urban traffic network.In order to improve the traffic capacity of urban traffic network and alleviate traffic congestion,an intelligent traffic signal control method was proposed based on traffic flow.The method built a traffic light polling control model based on the threshold service strategy,analyzed the average queuing length and signal timing scheme of vehicles at intersections by using Markov chain and probability mother function,and carried out simulation experiments according to actual traffic conditions.The results showed that the intelligent traffic signal control based on traffic flow was more reasonable than the traditional fixed-time control,which could effectively reduce the average delay and queuing length of vehicles passing the intersection,and improved the traffic efficiency.