基于排队长度的单点自适应信号控制方法

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• 英文论文题名：Queue Length Based Adaptive Signal Control Algorithm for Single Road Intersection
• 论文作者：杨义军 ; 胡灵龙 ; 张伟 ; 沈国江 ; 祁照阁 ; 杨永耀
• 英文论文作者：Yang Yijun ; Hu Linglong ; Zhang Wei ; Shen Guojiang ; Qi Zhaoge ; Yang Yongyao ; Zhejiang Supcon information Technology Co. ; Ltd ; Zhejiang University of Technology
• 年：2016
• 作者机构：浙江浙大中控信息技术有限公司;浙江工业大学;
• 论文关键词：交通控制 ; 排队长度 ; 交通需求 ; 自适应控制
• 英文论文关键词：Traffic Control ; Queue Length ; Traffic Demand ; Adaptive Signal Control
• 会议召开时间：2016-11-16
• 会议录名称：第十一届中国智能交通年会大会论文集
• 语种：中文
• 分类号：U491.54
• 学会代码：ZJTX
• 会议名称：第十一届中国智能交通年会
• 会议地点：中国重庆
• 主办单位：中国智能交通协会
• 学会名称：中国智能交通协会
• 页数：8
• 文件大小：1860k
• 原文格式：D
• 会议级别：全国

摘要

为了满足瓶颈路口全天候实时交通信号控制要求,本文引入了排队长度分析路口交通需求,提出了基于排队长度的单点自适应信号控制方法。首先,通过视频检测路口各车道的交通流量、绿灯结束排队长度、红灯结束排队长度等交通参数;然后分析各相位的交通需求,优化各相位的绿灯时间,并通过排队长度、最大绿灯时间、最小绿灯时间等条件来约束、校核优化方案的合理性;最后分析路口清空率、空放率、饱和度等技术指标来反馈路口的控制效果。现场应用表明,本文提出的算法能全天候实时适应路口变化的交通流,有效提高路口的通行效率。
In order to meet traffic signal control requirement of the road intersection with heavy traffic demand and large traffic flow variation,the vehicle queue length is introduced as the key element to analysis the real-time traffic demands and an adaptive signal control algorithm for the signal intersection based on queue length is developed in this paper.Firstly,road traffic variables such as queue lengths at the end of green light and the end of red light,traffic flow for each lane are derived from the purposely installed road traffic monitoring video cameras.Secondly,the green time of every phase is calculated through optimization by the input traffic demand and the queue length subject to the constraints of the maximum and minimum green time.Critical technical performance indicators including vehicle queue eliminating rate and void green time rate are used to evaluate the algorithm's control efficiency.Road intersection application shows that the proposed algorithm is able to deal with the large variation of heavy traffic flow under different weather conditions and can improve the intersection traffic flow significantly.

引文

[1]Mantalvanos M.Traffic Signal Control System and Method:US,US 20130099942 A1[P].2013.
    [2]Simone G?ttlich,Michael Herty,Ute Ziegler.Modeling and optimizing traffic light settings in road networks[J].Computers&Operations Research,2015,55:36-51.
    [3]Day C.M.,Ernst J.M.,Brennan T.M.,et al.Performance Measures for Adaptive Signal Control Case Study of System-in-the-Loop Simulation[J].Transportation Research Record Journal of the Transportation Research Board,2012,8(2311):1-15.
    [4]Pappis C.P.,Mamdani E H.A fuzzy logic controller for a traffic junctions[J].IEEE Transaction on Systems,Man,and Cybernetics,1997,7(10):707-717.
    [5]Shelby S.Single-Intersection Evaluation of Real-Time Adaptive Traffic Signal Control Algorithms[J].Transportation Research Record Journal of the Transportation Research Board,2004,1867(1):183-192.
    [6]沈国江,张伟.城市道路智能交通控制技术[M].北京:科学出版社,2015.
    [7]杨永辉,黄磊,刘昌平.基于视频分析的车辆排队长度检测[J].计算机应用研究,2011,28(3):1037-1041.
    [8]张永忠,张军强,乔志龙.基于多传感器融合的排队长度检测系统设计[J].道路交通与安全,2015,15(3):23-28.
    [9]李明利,赵祥模,张利川.基于排队状态的单点交叉口动态信号配时算法[J].交通运输工程学报,2008,8(5):100-103.
    [10]祁宏生,王殿海,陈松.基于综合饱和度的单点信号控制方法[J].哈尔滨工业大学学报,2012,44(2):134-137.