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基于车头时距分布规律的信号控制优化方法

Signal Control Optimization Method Based on Distribution Law of Headway
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摘要 为缓解城市交通拥堵、提高交叉口运行效率,文中提出一种基于车头时距分布规律的信号控制优化方法。通过研究信号交叉口车辆的车头时距分布规律得出,固定排队位置车头时距服从对数正态分布,连续排队位置车头时距服从指数分布,且不宜用某一固定分位点来标定每个排队位置的车头时距。基于车头时距的分布规律,探讨了不以总损失时间为变量的信号配时算法,提出了一种基于车头时距分布和排队长度进行整体考虑的最佳绿灯时间控制优化方法。通过基于VISSIM的仿真实验进行案例分析,对该方法与固定信号配时、感应式信号配时方法进行比较,结果表明:优化后的信号配时方法在车均延误、车均排队长度方面相较于其他两种方法均有大幅降低,且一次性通过率满足要求。运用该方法能更加准确地标定车头时距,使信号配时参数的计算更加准确。 In order to alleviate urban traffic congestion and improve the operation efficiency of intersections,a signal control optimization method based on the headway distribution law is proposed.By studying the distribution law of headway of vehicles at signalized intersections,it is concluded that the headway of vehicles at fixed queuing positions is lognormal distribution,and that of vehicles at continuous queuing positions is exponential distribution,and it is not suitable to use a fixed quantile to demarcate the headway of vehicles at each queuing position.Based on the distribution law of headway,this paper discusses the signal timing algorithm which does not take the total loss time as a variable,and proposes the optimal green light time control optimization method based on the overall consideration of headway distribution and queuing length.Through the case analysis of the simulation experiment based on VISSIM,this method is compared with the fixed signal timing method and the induction signal timing method.The results show that the optimized signal timing method greatly reduces the average vehicle delay and the average vehicle queue length compared with the other two methods,and the one-time pass rate meets the requirements.By using this method,the headway can be calibrated more accurately,and the calculation of signal timing parameters can be more accurate.
作者 钱勇 赵顗 马健霄 张益忠 QIAN Yong;ZHAO Yi;MA Jian-xiao;ZHANG Yi-zhong(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China)
出处 《物流工程与管理》 2021年第3期110-114,共5页 Logistics Engineering and Management
基金 江苏省高等学校自然科学研究面上项目(19KJB580012)。
关键词 车头时距 信号配时算法 VISSIM 车均延误 车均排队长度 一次性通过率 headway signal timing algorithm VISSIM delay per vehicle queue length per vehicle one-time pass rate
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