过饱和信号交叉口协调控制动态规划模型研究
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- 英文论文题名：Over-Saturated Intersection Signal Coordinate Optimization Based on Dynamic Programming
- 论文作者：唐瑾 ; 李瑞敏
- 英文论文作者：Tang Jin ; Li Ruimin ; China Center for Urban Development ; Institute of Transportation Engineering ; Tsinghua University
- 年：2016
- 作者机构：国家发改委城市和小城镇改革发展中心;清华大学交通研究所;
- 论文关键词：交通工程 ; 交通信号控制 ; 过饱和交叉口 ; 动态规划 ; 协调控制6
- 英文论文关键词：Traffic Engineering ; Traffic Signal Control ; Over-saturated Intersection ; Dynamic Programming ; Coordinate 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：11
- 文件大小：1226k
- 原文格式：D
- 会议级别：全国
摘要
本文应用动态规划理论研究信号过饱和交叉口协调控制优化方法。在分析传统协调控制状况的基础上考虑车流离散模型和相交道路转入车流等影响因素,根据实时预测的交通流量和排队长度,提出基于传统协调控制参数(周期长、绿信比、相位差)与动态规划相结合的协调配时优化模型,以及利用车流到达率、基于步长的的动态规划配时优化模型。以国内某城市为例,基于实际采集数据,应用本文提出的协调配时优化模型、动态规划配时优化模型,与TRANSYT系统给出的配时方案进行了对比分析。计算结果表明,本文提出的协调控制配时方案和动态规划配时方案在某些方面优于TRANSYT,动态规划配时方案有效地降低了交叉口饱和度,减少了各相位各进口道车辆的平均延误。
This paper focuses on over-saturated intersection signal coordinate optimization using dynamic programming.Firstly,it analyzed the weaknesses of traditional coordinate optimization control methods,considering the traffic flow discrete model and the turning vehicles,according to the real-time predict traffic flow and the queue length,it proved two optimization methods,one is coordinate optimization model based on tradition coordinate parameters and dynamic programming,the other is dynamic programming optimization model based on traffic flow arrival rate and the dynamic programming method.Secondly,it took two intersections as an example,based on actual data collected to optimize timing plans by the proposed dynamic programming models,gave a comparative analysis with TRANSYT(Traffic Network Study Tool)optimization signal timing plan.The results show that the coordinate optimization model and the dynamic programming optimization model proposed in this paper are better than TRANSYT,and the dynamic programming optimization model can effectively reduce the entire intersection saturation degree andthe average vehicles delay for each approach of each phase.
This paper focuses on over-saturated intersection signal coordinate optimization using dynamic programming.Firstly,it analyzed the weaknesses of traditional coordinate optimization control methods,considering the traffic flow discrete model and the turning vehicles,according to the real-time predict traffic flow and the queue length,it proved two optimization methods,one is coordinate optimization model based on tradition coordinate parameters and dynamic programming,the other is dynamic programming optimization model based on traffic flow arrival rate and the dynamic programming method.Secondly,it took two intersections as an example,based on actual data collected to optimize timing plans by the proposed dynamic programming models,gave a comparative analysis with TRANSYT(Traffic Network Study Tool)optimization signal timing plan.The results show that the coordinate optimization model and the dynamic programming optimization model proposed in this paper are better than TRANSYT,and the dynamic programming optimization model can effectively reduce the entire intersection saturation degree andthe average vehicles delay for each approach of each phase.
引文
[1]李瑞敏.过饱和交叉口交通信号控制研究现状与展望[J].交通运输工程学报,2013,13(6):119-126.
[2]Michalopoulos P G,Stephanopoulos G.Oversaturated signal systems with queue length constraints—II:Systems of intersections[J].Transportation Research,1977,11(6):423-428.
[3]Michalopoulos P G,Stephanopoulos G.Optimal control of oversaturated intersections:theoretical and practical considerations[J].Traffic Engineering&Control,1978,19(5):216-221.
[4]Rathi AK.A Control Scheme for High Traffic Density Sectors[J].Transportation Research Part B,1988,22(2):81-101.
[5]Girianna,M.Dynamic Signal Coordination Models for A Network with Oversaturated Intersections[D].Urbana:University of Illinois at Urbana-Champaign,2002.
[6]Girianna M,Benekohal RF.Application of Genetic Algorithms to Generate Optimum Signal Coordination for Congested Networks[J].Applications of Advanced Technology in Transportation,2002,762-769.
[7]Booz,Allen,Hamilton.Signal Timing under Saturated Conditions[M].Washington D.C.Federal Highway Administration,2008.
[8]Mucsi K.Adaptive Urban Bimodal(Car and Transit)Transportation System Management in Saturated and Oversaturated Conditions[D].Ottawa:Carleton University,2009.
[9]Aboudolas K,Papageorgiou M.Kouvelas,A.,Kosmatopoulos,E.A Rolling-Horizon Quadratic-Programming Approach to the Signal Control Problem in Large-Scale Congested Urban Road Networks[J],Transportation Research Part C,2010,18(5):680-694.
[10]Wu A,Qi L,Yang X.Mechanism Analysis and Optimization of Signalized Intersection Coordinated Control under Oversaturated Status[J].Procedia-Social and Behavioral Sciences,2013,96:1433-1442.
[11]常云涛,彭国雄.基于遗传算法的城市干道协调控制[J].交通运输工程学报,2003,(02):106~112.
[12]陈娟,徐立鸿,袁长亮.分层控制算法在过饱和交通干线控制中的应用[J].系统仿真学报,2008,20(15):4122-4131.
[13]袁长亮.过饱和道路交通控制信号周期优化解分析[J].道路交通与安全,2008,(06).
[14]卢凯,徐建闽,李林.过饱和交通状态下的停车延误协调控制模型[J].控制理论与应用,2010,(27):1623~1630.
[15]杨晓光,黄玮,马万经.过饱和状态下交通控制小区动态划分方法[J].同济大学学报(自然科学版),2010,38(10):1450-1457.
[16]许伦辉,曹智慧,郑淑鉴,等.过饱和下的交通协调控制研究[J].公路与汽运,2012,(03):39-42.
[17]郑淑鉴.过饱和下干道协调控制方法研究[D].广州:华南理工大学,2012.
[18]宋现敏.城市交叉口信号协调控制方法研究[D].吉林:吉林大学,2008.
[19]栗红强.城市交通控制信号配时参数优化方法研究[D].吉林:吉林大学,2004.
[20]李瑞敏,唐瑾.过饱和交叉口交通信号控制动态规划优化模型[J].交通运输工程学报,2015,(06):101-109.
[21]李瑞敏,唐瑾.城市道路交通流离散模型优化分析[J].公路工程,2015,40(4):19-23.
[22]Henry J J.PRODYN Tests and Future Experiments on ZELT.VNIS 89:Vehicle Navigation and Information Systems[C].IEEE Conference,Toronto.IEEE,1989(207).
[23]Robertson D.TRANSYT:a traffic network study tool[J].Fourth International Symposium on the Theory of Traffic Flow,1968.
[2]Michalopoulos P G,Stephanopoulos G.Oversaturated signal systems with queue length constraints—II:Systems of intersections[J].Transportation Research,1977,11(6):423-428.
[3]Michalopoulos P G,Stephanopoulos G.Optimal control of oversaturated intersections:theoretical and practical considerations[J].Traffic Engineering&Control,1978,19(5):216-221.
[4]Rathi AK.A Control Scheme for High Traffic Density Sectors[J].Transportation Research Part B,1988,22(2):81-101.
[5]Girianna,M.Dynamic Signal Coordination Models for A Network with Oversaturated Intersections[D].Urbana:University of Illinois at Urbana-Champaign,2002.
[6]Girianna M,Benekohal RF.Application of Genetic Algorithms to Generate Optimum Signal Coordination for Congested Networks[J].Applications of Advanced Technology in Transportation,2002,762-769.
[7]Booz,Allen,Hamilton.Signal Timing under Saturated Conditions[M].Washington D.C.Federal Highway Administration,2008.
[8]Mucsi K.Adaptive Urban Bimodal(Car and Transit)Transportation System Management in Saturated and Oversaturated Conditions[D].Ottawa:Carleton University,2009.
[9]Aboudolas K,Papageorgiou M.Kouvelas,A.,Kosmatopoulos,E.A Rolling-Horizon Quadratic-Programming Approach to the Signal Control Problem in Large-Scale Congested Urban Road Networks[J],Transportation Research Part C,2010,18(5):680-694.
[10]Wu A,Qi L,Yang X.Mechanism Analysis and Optimization of Signalized Intersection Coordinated Control under Oversaturated Status[J].Procedia-Social and Behavioral Sciences,2013,96:1433-1442.
[11]常云涛,彭国雄.基于遗传算法的城市干道协调控制[J].交通运输工程学报,2003,(02):106~112.
[12]陈娟,徐立鸿,袁长亮.分层控制算法在过饱和交通干线控制中的应用[J].系统仿真学报,2008,20(15):4122-4131.
[13]袁长亮.过饱和道路交通控制信号周期优化解分析[J].道路交通与安全,2008,(06).
[14]卢凯,徐建闽,李林.过饱和交通状态下的停车延误协调控制模型[J].控制理论与应用,2010,(27):1623~1630.
[15]杨晓光,黄玮,马万经.过饱和状态下交通控制小区动态划分方法[J].同济大学学报(自然科学版),2010,38(10):1450-1457.
[16]许伦辉,曹智慧,郑淑鉴,等.过饱和下的交通协调控制研究[J].公路与汽运,2012,(03):39-42.
[17]郑淑鉴.过饱和下干道协调控制方法研究[D].广州:华南理工大学,2012.
[18]宋现敏.城市交叉口信号协调控制方法研究[D].吉林:吉林大学,2008.
[19]栗红强.城市交通控制信号配时参数优化方法研究[D].吉林:吉林大学,2004.
[20]李瑞敏,唐瑾.过饱和交叉口交通信号控制动态规划优化模型[J].交通运输工程学报,2015,(06):101-109.
[21]李瑞敏,唐瑾.城市道路交通流离散模型优化分析[J].公路工程,2015,40(4):19-23.
[22]Henry J J.PRODYN Tests and Future Experiments on ZELT.VNIS 89:Vehicle Navigation and Information Systems[C].IEEE Conference,Toronto.IEEE,1989(207).
[23]Robertson D.TRANSYT:a traffic network study tool[J].Fourth International Symposium on the Theory of Traffic Flow,1968.