摘要
为了从多个交通参与者角度对信号控制交叉口运行情况进行评价,基于平面交叉口机动车、非机动车和行人的总延误和参与交通的总人数,并考虑非机动车两种过街模式的差异性,提出一种使交叉口人均延误最小的信号配时优化模型。以典型四相位信号控制交叉口为研究对象,综合考虑不同交通参与者载客数和机动性的差异,以交叉口机动车、非机动车和行人的人均延误最小为优化目标,以各相位最短绿灯时间、信号周期及关键相位饱和度为约束条件,建立非机动车不同过街模式下的信号配时优化模型。用改进粒子群算法对模型进行求解。结果表明:优化后交叉口人均延误相比于Webster配时法和现状信号配时方案分别降低18.3 s和13.5 s,优化比例分别为30%和24%;当各进口道左转机动车流量高于400 pcu/h时,交叉口非机动车采用一次过街模式的人均延误小于二次过街模式,二者人均延误的差值随左转流量的增大而增加;而当左转机动车流量小于400 pcu/h时,则交叉口二次过街模式的人均延误更小,且二者人均延误的差值随左转流量的减少而增加;平面交叉口非机动车不同过街模式的适用性取决于左转流量的大小,同时也与2条相交道路的宽度有关。
To evaluate the operational quality of signalized intersections from the perspective of multiple traffic participants,based on the total delay of motor vehicles,non-motor vehicles,and pedestrians at intersections and the total number of traffic participants,considering the differences between the 2 street crossing modes of non-motor vehicles,a signal timing optimization model to minimize the delay per capita at intersections is proposed.Taking the typical 4-phase signalized intersection as the research object,comprehensively considering the differences in passenger capacity and mobility of different traffic participants,regarding the minimization of delay per capita of motor vehicles,non-motor vehicles and pedestrians at intersection as the optimization goal,and setting the shortest green light time of each phase,signal cycle,and key phase saturation as the constraints,the signal timing optimization model under different street crossing modes of non-motor vehicles is established.The optimization model is solved by the improved particle swarm optimization(PSO)algorithm.The result shows that(1)after optimization,the delay per capita at intersection is reduced by 18.3 s and 13.5 s respectively compared with the Webster timing method and the current signal timing scheme,and the optimization proportion is 30%and 24%respectively;(2)when the left-turn motor vehicle volume at each entrance is higher than 400 pcu/h,the delay per capita of non-motor vehicles using the once crossing mode at intersection is less than that of using twice crossing mode,and the difference of delay per capita between the 2 modes increases with the increase of the left-turn volume;while the left-turn motor vehicle volume at each entrance is less than 400 pcu/h,the delay per capita of twice crossing mode at intersection is smaller,and the difference of delay per capita between the 2 modes increases with the decrease of the left-turn volume;The applicability of different street crossing modes of non-motor vehicles at plane intersections depends on
作者
李娟
贾庭勇
LI Juan;JIA Ting-yong(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu Sichuan 611756,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2021年第11期134-141,共8页
Journal of Highway and Transportation Research and Development
关键词
智能交通
信号配时优化
延误计算模型
人均延误
信号交叉口
粒子群算法
ITS
signal timing optimization
delay calculation model
delay per capita
signal intersection
particle swarm optimization
