摘要
考虑到相交道路左转汇入车流对干线协调效率的影响,本文以绿波带宽最大为目标提出了干线协调控制下直行车辆及左转汇入车辆的速度引导模型.首先,在干线绿波控制(Maxband)模型的基础上确定干线直行车辆的可通行时间,引导干线直行车辆在绿波时间段内到达交叉口;然后,加入控制左转汇入车辆的通行时间方程,引导左转汇入车辆在不影响干线协调控制的时间内通过交叉口,与干线直行车辆实现时间上的分离;最后,基于VISSIM和MATLAB进行仿真实验,结果表明本文提出的优化模型可以有效提高干线交叉口的通行效率.
Considering the influence of the left-turn merging traffic of the intersecting roads on the efficiency of arterial coordination,this paper proposes a speed guidance model for straight-line vehicles and left-turn merging vehicles under arterial coordination control with the objective of maximizing the green wave bandwidth.Firstly,the passable time of the trunk line direct traffic is determined on the basis of the trunk line green wave control(Maxband)model to guide the trunk line direct traffic to reach the intersection within the green wave time period;then the equation of the passable time for controlling the left-turning merging vehicles is added to guide the left-turning merging vehicles to pass the intersection within the time that does not affect the trunk line coordination control and achieve the time separation from the trunk line direct traffic;finally,simulation experiments based on the VISSIM and MATLAB are conducted,and the results show that the optimization model proposed in this paper can effectively improve the traffic efficiency of the arterial intersection.
作者
杨晓芳
李婷瑞
YANG Xiao-fang;LI Ting-rui(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2023年第9期1595-1601,共7页
Control Theory & Applications
基金
国家自然科学基金项目(51308409)
上海市浦江人才计划项目(15PJC075)资助.
关键词
智能交通
速度引导
左转汇入
干线协调控制
车联网
intelligent transportation
speed guidance
left turn
line coordination control
connected vehicle
