左转专用短车道信号交叉口通行能力分析  

Traffic Capacity at Signalized Intersections with Left-turn Exclusive Short Lanes

作　　者：常玉林[1,2,3] 刘润 CHANG Yulin;LIU Run(School of Automotive and Traffic Engineering,Jiangsu University,Jiangsu Zhenjiang 212013,China;Jiangsu Key Laboratory of ITS,Nanjing 210018,China;School of Automotive Engineering,Nan tong Institute of Technology,Jiangsu Nantong 226002,China)

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013 [2]东南大学城市智能交通江苏省重点实验室,南京210018 [3]南通理工学院汽车工程学院,江苏南通226002

出　　处：《交通工程》2024年第4期58-66,共9页Journal of Transportation Engineering

摘　　要：针对信号交叉口左转专用短车道排队阻塞导致的时空资源浪费、通行能力降低等问题,本文分析排队阻塞车流形成与消散过程,从车流到达分布理论和概率论2个角度建立了排队阻塞概率模型。考虑到不同流向的放行顺序,结合交通流波动理论,建立了3种不同相位方案下排队阻塞时进口道通行能力模型。通过VISSIM对模型进行检验,并对模型影响因素进行敏感性分析,观察不同影响因素下通行能力变化趋势。结果表明,模型能更加准确地计算不同信号控制条件下左转专用短车道通行能力;左转专用短车道下,短车道容量、信号周期、绿信比、车流比例、车流平均到达率对通行能力起主要影响。Response to the waste of time and space resources and the reduction of traffic capacity caused by queuing congestion on the left-turn dedicated short lane at signal intersections,this paper analyzes the formation and dissipation process of queuing congestion traffic flow,and establishes a queuing congestion probability model from the perspectives of traffic flow arrival distribution theory and probability theory.Considering the release sequence of different directions,combined with traffic flow fluctuation theory,a queuing congestion traffic flow capacity model under three different phase schemes is established.The model is tested using VISSIM,and the sensitivity analysis of model influencing factors is conducted to observe the change trend of traffic capacity under different influencing factors.The results show that,the model can more accurately calculate the capacity of left turn dedicated short lanes under different signal control conditions;under the left-turn dedicated short lane,the short lane capacity,signal cycle,green signal ratio,traffic flow proportion,and average traffic flow arrival rate have a major impact on traffic capacity.

关 键 词：交通工程 通行能力 排队阻塞概率 短车道 VISSIM仿真 

分 类 号：U491[交通运输工程—交通运输规划与管理]