摘要
为降低包含可变导向车道的干线车均延误与排队长度,提出一种考虑可变导向车道的干线交通信号协调控制方法。以直行和左转方向交通流饱和度为判别标准,对可变导向车道行车方向是否切换进行判断;基于车道行车方向切换对干线交通流造成的影响,对HCM模型中的通行能力、均匀延误修正系数等参数进行修正,建立考虑可变导向车道的干线协调控制信号配时优化模型。以武汉市青年路3个交叉口为例,利用Vissim软件进行仿真实验,结果表明,相比于现状情况下的单点信号配时方案,模型能够有效降低干线车均延误与排队长度,可变导向车道所在的信号交叉口进口道优化效果最为明显,车均延误减少16.87%,直行和左转方向排队长度分别降低17.95%和23.24%,证明模型对包含可变导向车道的干线协调控制交叉口运行具有积极影响。
In order to reduce average delay and queue length of arterial roads with variable lanes, a coordinated control method of arterial signals with variable lanes is proposed. Degree of saturation of go-through and left-turn traffic flows is taken as criteria to judge whether the direction of the variable lanes is switched or not. Based on influences of the direction switching of the lanes on arterial traffic flows, the parameters of a HCM model, such as traffic capacity and uniform delay correction coefficient are corrected, and an optimized model of coordinated control for arterial roads considering variable lanes is established. Taking three intersections of Youth Road in Wuhan as case studies, simulations are carried out by Vissim. The results show that compared with single intersection control under current situation, the model can effectively reduce the average delay and queuing length of arterial vehicles. The optimization effect at signalized intersections where the variable lanes is located is the most obvious. Delay, queue length for go-through and left-turn decreases by 16.87%, 17.95%, and 23.24% respectively, which proves that the model has positive effects on coordinated control of intersections with variable lanes.
作者
郜轶敏
张存保
韦媛媛
曹雨
GAO Yimin;ZHANG Cunbao;WEI Yuanyuan;CAO Yu(Intelligent Transportation Systems Research Center,Wuhan University of Technology, Wuhan 430063, China)
出处
《交通信息与安全》
CSCD
北大核心
2019年第5期54-62,共9页
Journal of Transport Information and Safety
基金
国家自然科学基金项目(51578432)
湖北省自然科学基金项目(2018CFB498)
交通安全应急信息技术国家工程实验室开放基金项目(YW170301-08)资助
关键词
交通控制
干线交通
可变导向车道
协调控制
动态控制
traffic control
arterial traffic
variable guidance lane
coordination control
dynamic control
