基于系统动力学的城市交通流网络管控系统分析与建模
|
摘要
随着经济全球化进程,城市规模越来越大,交通拥挤问题已成为全球大城市普遍面临的问题,对于我国这种人口基数大,经济发展快的国家而言,该问题更为严重。在此背景下,构建智能化的城市交通管控系统,对交通流进行科学的组织与管控,充分发挥现有交通网络的通行潜力,最大程度上使交通流做到有序流动已成当务之急。
本文基于系统科学,运用系统动力学方法,对城市复杂交通流网络管控系统进行建模与系统仿真研究,并深入分析了相关因素和交通政策对城市交通流的影响,结合天津市交通流网络管控系统现状进行了应用研究。论文主要内容包括三部分:
(1)在文献研究基础上,总结了国内外现有交通管控的理论和实践,系统地分析了城市复杂交通流网络管控系统结构,并对交通流网络管控系统中的机器系统(包括信号控制、交通诱导系统)和人工系统(包括交通需求管理系统、交通组织系统)等进行了系统分析。
(2)分别对人工系统和机器系统进行了系统动力学分析与建模,明确阐述了系统建模目标、建模思路,界定了模型边界,进行了因果分析,建立了系统流图,并对各个子系统进行模拟仿真研究。
(3)从主线出发,将各个子系统集成起来,建立了整体系统模型,并通过实际仿真,分析了平均延误时间、道路均衡率与交通负荷在现有数据上的演变趋势,同时对系统中主要控制与政策因素做了敏感性分析,考查对上述几个主要指标的影响,通过与实际场景进行对比,证明该模型确实能反映实际情况,同时也对城市交通路网状态的改善,提出了可行性建议。从分析天津市实际路网结构入手,将模型应用于天津市交通流网络管控系统中进行仿真,并与实际情况相比较,验证了模型的合理性与可扩展性。
论文研究中将复杂的宏观模型分解为各个微观的子模型,再对各个子模型之间的关系进行分析,进而完成了整体系统的建模和仿真。论文在深入研究的基础上,提出了一种切实可行的分析城市复杂交通流瓶颈问题的系统动力学研究框架,并基于研究框架进行了一系列模拟仿真和实际应用的验证,证实了所提出研究框架的合理性、科学性及其理论意义。论文除对交通管控系统进行理论分析和仿真验证外,还将研究成果应用于实际场景之中,在天津市的交通流网络管控系统建设上取得了明显的应用效果。
With the process of economic globalization, the scales of cities have increased rapidly and thus trafficcongestion has already become a generally faced problem in big cities. The problem is more serious in ourcountry, which has a large population and a rapidly growing economy. Under this background, it is importantas well as urgent to build an urban traffic management and control systems to organize and control traffic flowin a more scientific way, to give fully play to the potential capacity of the existing traffic network and the wellorganization of the traffic flow.
This dissertation builds modeling to the complicated urban traffic network control and management systemwith the systematic dynamics method and analyzes relevant effects of factors of feasible traffic policiesthrough simulation results. In this dissertation, this modeling is applied to the Tianjin traffic network controland management systemin Tianjin. The main contents of this dissertation include three parts:
(1) The structure of flattened traffic flow network control and management system is analyzed. Firstly,the traffic flow network control and management system is introduced. Secondly, the signal control and trafficguiding system are introduced. Finally, the traffic demand management system and the traffic organizationsystemin artificial systemare introduced in order to have a more specific knowledge to the overall system.
(2) Models of each subsystem is build in a systematic dynamic way, including traffic demand, trafficorganization, traffic scheduling, signal control and traffic guide. The modeling objective, modeling idea ofeach subsystem is analyzed and model boundaries are confirmed and system circulation is realized by theanalysis of causality. Simulation of each subsystemis made.
(3) Starting from the main line, system model is built by integrating each subsystem. Through softwaresimulation, the evolution trends of the average delay, the equilibrium rate as well as the traffic load areanalyzed. Also, the sensitivity analysis about main control and policy factors in the system is made. Byevaluating effects of those above-mentioned indexes and comparing it with actually situations, the model isverified to be able to reflect actual situation. Feasible suggests are made to improve the state of the urban traffic network. The model is applied to the traffic flow network control and management system in Tianjin.By analyzing the actual road network structure in Tianjin, simulating with software and then comparing theresult with the actual situation, the rationalityand expansibility of the model is verified.
Through the completion of the study contents, this dissertation has proposed a practical analysis on systemdynamics research framework of urban traffic flow complex system. The analyses on the traffic flow complexsystems will be broken down into various micro sub-models, and each sub-model relationship is shown indetail, thus the overall system modeling is completed. Aseries of simulation proof the reasonable and scientificof the proposed framework. In addition to the theoretical simulation system, the system will be truly applied tothe actual scene among the networks in Tianjin's traffic flow building management and control system, andplaya positive role.
本文基于系统科学,运用系统动力学方法,对城市复杂交通流网络管控系统进行建模与系统仿真研究,并深入分析了相关因素和交通政策对城市交通流的影响,结合天津市交通流网络管控系统现状进行了应用研究。论文主要内容包括三部分:
(1)在文献研究基础上,总结了国内外现有交通管控的理论和实践,系统地分析了城市复杂交通流网络管控系统结构,并对交通流网络管控系统中的机器系统(包括信号控制、交通诱导系统)和人工系统(包括交通需求管理系统、交通组织系统)等进行了系统分析。
(2)分别对人工系统和机器系统进行了系统动力学分析与建模,明确阐述了系统建模目标、建模思路,界定了模型边界,进行了因果分析,建立了系统流图,并对各个子系统进行模拟仿真研究。
(3)从主线出发,将各个子系统集成起来,建立了整体系统模型,并通过实际仿真,分析了平均延误时间、道路均衡率与交通负荷在现有数据上的演变趋势,同时对系统中主要控制与政策因素做了敏感性分析,考查对上述几个主要指标的影响,通过与实际场景进行对比,证明该模型确实能反映实际情况,同时也对城市交通路网状态的改善,提出了可行性建议。从分析天津市实际路网结构入手,将模型应用于天津市交通流网络管控系统中进行仿真,并与实际情况相比较,验证了模型的合理性与可扩展性。
论文研究中将复杂的宏观模型分解为各个微观的子模型,再对各个子模型之间的关系进行分析,进而完成了整体系统的建模和仿真。论文在深入研究的基础上,提出了一种切实可行的分析城市复杂交通流瓶颈问题的系统动力学研究框架,并基于研究框架进行了一系列模拟仿真和实际应用的验证,证实了所提出研究框架的合理性、科学性及其理论意义。论文除对交通管控系统进行理论分析和仿真验证外,还将研究成果应用于实际场景之中,在天津市的交通流网络管控系统建设上取得了明显的应用效果。
With the process of economic globalization, the scales of cities have increased rapidly and thus trafficcongestion has already become a generally faced problem in big cities. The problem is more serious in ourcountry, which has a large population and a rapidly growing economy. Under this background, it is importantas well as urgent to build an urban traffic management and control systems to organize and control traffic flowin a more scientific way, to give fully play to the potential capacity of the existing traffic network and the wellorganization of the traffic flow.
This dissertation builds modeling to the complicated urban traffic network control and management systemwith the systematic dynamics method and analyzes relevant effects of factors of feasible traffic policiesthrough simulation results. In this dissertation, this modeling is applied to the Tianjin traffic network controland management systemin Tianjin. The main contents of this dissertation include three parts:
(1) The structure of flattened traffic flow network control and management system is analyzed. Firstly,the traffic flow network control and management system is introduced. Secondly, the signal control and trafficguiding system are introduced. Finally, the traffic demand management system and the traffic organizationsystemin artificial systemare introduced in order to have a more specific knowledge to the overall system.
(2) Models of each subsystem is build in a systematic dynamic way, including traffic demand, trafficorganization, traffic scheduling, signal control and traffic guide. The modeling objective, modeling idea ofeach subsystem is analyzed and model boundaries are confirmed and system circulation is realized by theanalysis of causality. Simulation of each subsystemis made.
(3) Starting from the main line, system model is built by integrating each subsystem. Through softwaresimulation, the evolution trends of the average delay, the equilibrium rate as well as the traffic load areanalyzed. Also, the sensitivity analysis about main control and policy factors in the system is made. Byevaluating effects of those above-mentioned indexes and comparing it with actually situations, the model isverified to be able to reflect actual situation. Feasible suggests are made to improve the state of the urban traffic network. The model is applied to the traffic flow network control and management system in Tianjin.By analyzing the actual road network structure in Tianjin, simulating with software and then comparing theresult with the actual situation, the rationalityand expansibility of the model is verified.
Through the completion of the study contents, this dissertation has proposed a practical analysis on systemdynamics research framework of urban traffic flow complex system. The analyses on the traffic flow complexsystems will be broken down into various micro sub-models, and each sub-model relationship is shown indetail, thus the overall system modeling is completed. Aseries of simulation proof the reasonable and scientificof the proposed framework. In addition to the theoretical simulation system, the system will be truly applied tothe actual scene among the networks in Tianjin's traffic flow building management and control system, andplaya positive role.
引文
[1] Elizabeh A. Bretz. Transportation. IEEE Spectrum, 2000, 37(1): 91-96.
[2]陆化普,史其信. ITS––新一代道路交通系统.公路交通科技, 1997, 14(4): 42-47.
[3]陆化普.智能运输系统.北京:人民交通出版社, 2002.
[4]黄卫,陈里德.智能交通系统(ITS)概论.北京:人民交通出版社, 1999.
[5]易汉文.美国智能交通10年发展规划.国外城市规划,2002(4): 40-44.
[6] Hani S. Mahmassani, Ahmed S. Abdelghany, Mariette Kraan. Providing advanced andreal-time travel/traffic information to tourists. Report No. FHWA/TX-99/1744-S, October1998.
[7] Jean-Luc Ygnace, Chris Drane, Y. B. Yim, Renaud de Lacvivier. Travel time Estimation onthe San Francisco Bay Area Network Using Cellular Phones as Probes. California PATHWorking Paper UCB-ITS-PWP-2000-18, September 2000.
[8] Pearce, Vincent P. . Transguide leads the way in innovative transportation management.Public Roads, 1995, 59(1): 35.
[9]李淦山.日本智能交通(ITS)研究综述.国外公路,2000(8): 33-35.
[10]尚刚,陈宝.智能交通系统(ITS)在日本的发展综述.华东公路, 1999(3): 62-65.
[11] Catling Ian, McQueen Bob. Road transport informatics in Europe– A summary of currentdevelopments. Proceedings of the Jerusalem Conference on Information Technology, 1990.702-715.
[12] Bastiaansen Ad.. Navigable digital street map is the critical success factor for vehiclenavigation and transport information systems in Europe. IEEE Intelligent VehiclesSymposium, proceedings, 1996. 117-119.
[13] Bossom R. A. P.. ROMANSE system integration. IEE Conference Publication n454, 1998.238-242.
[14] Davies Peter, Porter clare. Advanced traveler information in the DRIVE II program.Proceedings of the IEEE-IEE Vehicle Navigation and Informations Systems Conference,1993: 92-95.
[15]杨平.纵贯欧洲的网络工程-智能交通系统.科技大视野,2001(1): 60-61.
[16]段里仁等.道路交通自动控制.北京:中国人民公安大学出版社,1991.
[17]王笑京.智能运输系统体系框架研究.交通与计算机,2001, 19(04):4-7.
[18]马振川.北京市的交通管理与智能交通系统.道路交通管理,1998(7): 40-42
[19]施兰章,上海智能交通系统的研究现状及应用前景.中国市政工程, 1998(1): 1-5.
[20]杨兆升.城市交通流诱导系统理论与模型.北京:人民交通出版社, 2000.
[21]杨兆升,关于智能运输系统的关键理论――综合路段行程时间预测的研究.交通运输工程学报,2001, 1(1): 65-67.
[22]杨兆升,朱中.交通流诱导的信息系统研究.公路交通科技, 1999, 16(4): 34-38.
[23] Jianming Hu, Zhaosheng Yang. Research on the Optimization of Urban Transit OperationsUsing Genetic Algorithms. Proceedings of ICTTS’2000,Beijing, 2000. 418-421.
[24]杨琪,王炜. OD出行矩阵的容量限制推算方法.公路交通科技,2002, 19(2): 37-40.
[25]石小法,王炜.高度信息化条件下的动态配流模型.东南大学学报(自然科学版) , 2001,31(2): 91-94.
[26]石小法,王炜,李文权.交通信息对交通网络的影响研究.系统工程学报,2001, 16(3):167-172.
[27]杨新苗,王炜.基于准实时信息的公交调度优化研究.交通与计算机, 2000, 18(5):12-15.
[28]杨东援,贾俊刚,徐士伟.城市交通信息系统规划研究. 1999中国城市交通规划学术委员会年会上的发言.
[29]汪海渊,周英杰,杨东援,朱彦东.交通规划组群决策支持系统.交通与计算机,2001(S1): 13-16.
[30]杨佩昆,张树升.交通管理与控制.北京:人民交通出版社, 1998.
[31]钟邦秀,杨晓光.面向对象微观交通仿真系统的研究与实现.系统仿真学报, 2002,14(4):418-421.
[32]汪希室,张勇,张民.智能交通系统与智能铁路交通系统分析.北方交通大学学报, 2000,24(5): 1-6.
[33]申金升,关伟,高辉.基于ITS和EC的智能物流系统.交通运输系统工程与信息, 2001,1(4): 294-298.
[34]张飞舟,晏磊,范跃祖,孙先仿.智能交通系统中的公交车辆动态调度研究.公路交通科技, 2002, 19(3): 123-126.
[35]张飞舟,黄继勋,王常荣,范跃祖,孙先仿. GPS/GLONASS组合导航定位技术在ITS中的应用.系统工程理论与实践, 2001(1):114-119.
[36]杨东凯,张其善,吴今培.公交GPS车辆监控系统研究.电子技术应用,2000(4): 25-27.
[37]胡明伟,史其信.智能运输系统(ITS)评价方法研究.公路交通科技,2001, 18(5): 46-50.
[38]胡明伟,史其信.支持ITS影响评价的交通仿真模型研究.公路交通科技,2001, 18(6):73-77.
[39]袁虹,陆化普.综合交通枢纽布局规划模型与方法研究.公路交通科技,2001, 18(3):101-105.
[40]陆化普,殷亚峰.动态系统最优分配模型的研究.公路交通科技, 1996, 13(4): 12-19.
[41]郑四发,班学钢,邹旭东,连小珉.基于GPS信号的导航地图路网生成方法研究.公路交通科技, 2002, 19(3): 115-118.
[42]王其藩.系统动力学[M].清华大学出版社,1994.
[43]贾仁安,丁荣华.系统动力学--反馈动态性复杂分析[M].高等教育出版社,2002
[44]蔡林.城市生活垃圾管理系统动力学模型研究—以北京市为例[M].知识产权出版社,2009.
[45]关宏志,陈艳艳,刘小明,等.基本路段机非混合交通流的解析模型.北京工业大学学报, 2001,27(1):12-15.
[46]王明文.非机动车对路段交通流影响的研究[硕士学位论文].北京:北京工业大学, 2004.
[47]关宏志,王明文,池红波.混合交通中非机动车对路段交通流的影响.北京工业大学学报, 2005,31(3):281-283.
[48] Masatu L.M. Chiguma. Analysis of side friction impacts on urban road links [D]. Sweden,Stockholm: Royal Institute ofTechnology, 2007.
[49]曲昭伟,周立军,王殿海.城市信号交叉口自行车及行人到达与释放规律.公路交通科技, 2004,21(8):91-94.
[50]孙明正,杨晓光.机非混行平面交叉口交通设计理论研究.公路交通科技, 2004, 21(8):82-86.
[51]徐良杰,王炜.信号交叉口行人过街时间模型.交通运输工程学报, 2005, 5(1):111-115.
[52]李建新,毛保华.混合交通环境下有信号平面交叉口通行能力研究.交通运输系统工程与信息,2001, 1(2):120-123.
[53]景春光.平面交叉口机非冲突机理及其应用研究[博士学位论文].吉林:吉林大学, 2005.
[54]徐良杰,王炜.左转自行车对直行机动车通行的影响分析模型.东南大学学报(自然科学版),2005, 35(5):805-809.
[55]徐良杰,王炜,俞斌.信号交叉口非机动车及行人交通控制研究.交通运输工程与信息学报,2004, 2(2):102-114.
[56]王国华.信号控制交叉口混合交通流特性研究[硕士学位论文].吉林:吉林大学, 2004.
[57] The Transportation Research Boards. Highway capacity manual 2000 [M]. National ResearchCouncil:Washington, D. C.2000.
[58]王殿海.交通流理论.北京:人民交通出版社, 2002.
[59] Greenberg, I.The log-normal distribution of headways.Australian Road Research, 1966, 2(7):14-18.
[60] Tolle, J.E. The lognormal headway distribution model. Traffic Engineer and Control, 1971,13(1):22-24.
[61] Cowan, R.J. Useful headway models.Transportation Research, 1975, 9(6):371-375.
[62] Sullivan, D.P., Troutbeck, R.J. The use of Cowan’s M3 headway distribution for modeling urbantraffic flow.Traffic Engineering and Control, 1994, 35(7):445-450.
[63] Luttinen, R.T. Properties of Cowan M3 headway distribution. Transportation Research Record:Journal of theTransportation Research Board, 1999, No.1678:189–196.
[64] Hagring, O. The use of the Cowan M3 distribution for modeling roundabout flow. TrafficEngineering and Control, 1996, 37(5):328-332.
[65] Griffiths, J.D., Hunt, J.G. Vehicle headways in urban areas. Traffic Engineering Control, 1991,32(10):458-462.
[66] Zhang, G., Wang, Y., Wei, H., et al. Examining Headway Distribution Models with Urban FreewayLoop Event Data,Transportation Research Record, 2007, No.1999:141-149.
[67] R. Tapio Luttinen. Statistical analysis of vehicle time headways [D]. Finland, Neopoli, Lahti:Helsinki University ofTechnology Lahti Center, 1996.
[68]何民,荣健,刘小明.自然交通流的跟驰特性研究.公路交通科技, 2002, 19(3):110-114.
[69]黄荣,郭敏,陈绍宽,等.拥堵状态下信号交叉口通行能力计算方法.交通运输系统工程与信息, 2008, 8(3):58-65.
[70]翁彦琳.城市混合交通系统建模与仿真研究[硕士学位论文].浙江:浙江大学, 2002.
[71]王华东.城市混合交通系统的建模方法与应用研究[博士学位论文].浙江:浙江大学, 2003.
[72]张晋.基于元胞自动机的城域混合交通流建模方法研究[博士学位论文].浙江:浙江大学,2004.
[73] A.J. Miller, A computer control system for traffic networks。Proc, 2nd Int. Symp.Traffic Theory, 200-220, 2003.
[74] B. Jiang,C. Claramunt,Topological Analysis of Urban Street Networks,Environment andPlanning B,Vol. 31 2003.
[75] The Transportation Research Boards. Highway capacity manual 2000 [M]. National ResearchCouncil:Washington, D. C.2000.
[76] Ferguson E. Transportation demand management planning, development and implementation.Journal of theAmerican PlanningAssociation, 1990, 56(4): 442-456.
[77]崔新书,“城市道路交通组织设计探讨”,城市道桥与防洪, 2004年6期21-26
[78]裴玉龙,伊新苗.“城市单向交通组织方案规划及其评价研究”,东北公路, 2003年26卷3期118-120,113
[79]文国玮.城市交通与道路系统规划.北京:清华大学出版社,2001.
[80]陆化普.城市交通现代化管理.北京:人民交通出版社,1999
[81]徐循初.城市道路与交通规划(上册) .北京:中国建筑工业出版社, 2005。
[82]王炜,徐吉谦,杨涛.城市交通规划理论及其应用.南京:东南大学出版社, 1998
[83]黎茂盛,王炜,史峰.“含有分车种禁行路段网络的交通平衡分析”,东南大学学报2006年36卷4期630-633
[84]江强.“浅谈城市道路单向交通”,交通与运输, 2001年4期21-22
[85] Boillot, Florence, Pierrelee, Jean-Claude.“The real-time urban traffic control systemCRONOS: Algorithm and experiments”, Transportation Research Part C: EmergingTechnologies February, 2006 14 1 18-38
[86]刘小明,王飞跃.基于Agent的区域交通流协调控制的研究,计算机工程,2003,29(9):45-47
[87]李刚,孙义和,花泽庆.适应中国国情的城市智能化交通信号控制算法研究. ITS通讯,2001(2):42-49
[88] Wu, Ming-Hui, Tan, Zhi-Hui.“Study and simulation on traffic signal optimization controlmodel of intersection”, Journal of System Simulation July, 2006 18 7 1866-1869.
[89] Chen, Xiao-Ming, Guo, Yu-Su.“Studies on traffic signal optimization combined with userequilibrium assignment”, Journal of Beijing Jiaotong University June, 2007 31 3 18-21+2
[90] Timbrook, P, Gupta, A.“Cross-Jurisdictional Signal Coordination: Case Studies”, ScienceApplications International Corp., Oak Ridge, TN. Feb 2002.
[91] Xu, L, Huang, Y.“A multi-phase fuzzy controller for urban intersections and itsimplementation by bp neural network”, DYNAMICS OF CONTINUOUS DISCRETE ANDIMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS 14: 1753-1757 Part4 AUG 2007
[92] Alipour, Muhammad Amin.“Reactive agent for urban traffic control”, Proceedings of theEighteenth International Florida Artificial Intelligence Research Society Conference,FLAIRS 2005 - Recent Advances in Artifical Intelligence 2005 808-809
[93]马寿峰,李艳君,贺国光.城市交通控制与诱导协调模式的系统分析,管理科学学报,2003年03期:45-52.
[94]沈国江,孙优贤,城市交通干线递阶模糊控制及其神经网络实现,系统工程理论与实践,2004,4:99-105
[95]王大海,张晓峰,张廷山,桑兆辉,王立锦,自协调变周期的交通信号集散控制系统——论第三代城市交通信号控制系统,湖北省科学院学报,1997,3:8-13
[96] Luo, YG, Zang, LL.“Application of fuzzy neural network algorithm for urban traffic”,DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIESB-APPLICATIONS & ALGORITHMS 13E: 2791-2794 Part 6 Suppl. S DEC 2006
[97]陈丕刚,多交叉路口模糊线控制模型研究,交通运输系统工程与信息,2003,5,3(2):43-46
[98] Payne H J. Models of freeway traffic and control. Mathematical Methods of PublicSystems,1971; 1(1): 51-61
[99]段里仁,王耘非,任大任,“道路交通自动控制系统”,中国人民公安大学出版社,1998
[100]任江涛,张毅,李志恒,胡东成.面向信息应用的ITS信息模型及交换模式.清华大学学报,2002,3:417-420
[101]Lo, Hong K, Chow, H.F.“Adaptive traffic control system: Control strategy, prediction, resolution,and accuracy”, Journal ofAdvancedTransportation Fall, 2002 36 3 323-347
[102]顾九春,于泉,王海忠,石建军.城市交通信号控制系统研究(一).交通科技,2004,5:78-79
[103]刘智勇,梁渭清城市交通信号控制的进展公路交通科技, 2003, 20 (6):121-12
[104]欧海涛,张文渊,等城市交通控制研究的新发展信息与控制, 2000, 29 (5): 441-54
[105]Ji, Chang-Xu, Hu, Juan-Juan.“Information processing in integration of urban traffic flow guidancesystem and traffic control system”, Journal of Jilin University (Engineering and Technology Edition)March, 2006 36 SUPPL. 140-143
[106]翟润平,周彤梅。应用绿灯有效利用率实现感应控制的原理及方法研究.中国人民警官大学学报(自然科学版) , 1997 (1) : 43-46
[107]Yu, De-Xin, Wang, Yuan.“Urban road traffic control system and its coordinate optimization basedon multi-agent system”, Journal of Jilin University (Engineering and Technology Edition) January,2006 36 1 113-118
[108]李显生.基于需求识别和绿信比优化的单点感应控制方法。道路交通管理,2002 (10) :35-36
[109]保丽霞,杨兆升,朱国华.交通信号控制与交通流诱导的多级协同运作机理分析,第六届全国交通运输领域青年学术会议,2005, 08:697-700.
[110]韩志新,魏连雨.“交通管理中控制系统与诱导系统协调理论探索”,河北工业大学学报, 2003年01期
[111]李瑞敏,史其信.基于多Agent系统的城市交通控制与诱导协同化研究.公路交通科技,2004,21 (5):109-11
[112]李振龙.“城市交通诱导策略的探讨”,交通科技, 2003年01期
[113]靳玫.北京市交通结构演变的系统动力学模型研究:[硕士学位论文].北京:北京交通大学,2007.
[114]王继峰,陆华普,彭唬.城市交通系统的SD模型及其应用.交通运输系统工程与信息, 2008,8(3):83-89.
[115]Su Y, Lu L, Yao D, et al. Transportation demand management for Beijing 2008 Olympic Games [C].Proceedings of 12th IEEE Intelligent Transportation Systems Conference, St. Louis, Missouri, USA,2009.
[116]苏岳龙,姚丹亚,张毅,等.基于单双号限行措施的北京市交通需求管理策略分析.交通信息与安全, 2009, 27(3):29-31.
[117]奥运官网.交通限行措施基本达到预期目标奥运交通服务平稳运行[EB/OL]. [2008-07-29].http://www.beijing2008.cn/news/olympiccities/beijing/n214487473.shtml.
[118]钟永光,贾晓菁,李旭,等.系统动力学.北京:科学出版社, 2009.
[119]王其藩.系统动力学.第2版.北京:清华大学出版社, 1994.
[120]北京市公安局公安交通管理局. 2000年以来交通管理相关数字[EB/OL]. [2009-01-09].http://www.bjjtgl.gov.cn/publish/portal0/tab118.
[121]Zhao B, Zhao J, Wang J. Prospects and characteristics of urban public transport in China [C]. ASCE,Urban transportation systems—Implementing efficient urban transit systems and enhance transitusage,ASCE, NewYork, 2000.
[122]Liu R, Guan C. Mode biases of urban transportation policies in China and their applications. Journalof Urban Planning and Development, 2005, 131(2): 58-70.
[123]王振报.北京市交通需求管理(TDM)政策研究:[硕士学位论文].北京:北京工业大学, 2006.
[124]杨夫军.交通需求管理评价指标体系研究:[硕士学位论文].江苏:东南大学, 2006.
[125]郭继孚,毛保华,刘迁,等.交通需求管理——一体化的交通政策及实践研究.北京:科学出版社, 2009.
[126]Bautz J. Suburban gridlock: fighting congestion to improve mobility. Transportation Research News,1998, 138 (September-October): 8-10.
[127]Tate, J. E., Bell M.C. Evaluation of a traffic demand management strategy to improve quality inurban areas [C]. Proc., IEE Tenth International Conference on Road Transport Information andControl, London, IEEE, 2000:158-162.
[128]Giuliano G. Transportation demand management promise or panacea? Journal of the AmericanPlanningAssociation, 1992, 58(3):327-335.
[129]Hensher, D. A., Puckett, S. M. Congestion and variable user charging as an effective travel demandmanagement instrument.Transportation Research PartA, 2007, 41(7):615-626.
[130]Hug K, Mock-Hecker R, Wurtenberger J. Transport demand management byelectronic fee collectionin a zone-based pricing scheme: the Stuttgart MobilPASS field trial. Transportation Research Record,1997, 1576:69-76.
[131]张雪梅.平面交叉路口交通流组织探讨.公安大学学报, 2003, 33(1): 76-79.
[132]杨晓光.道路网络交通流优化组织设计(一).道路交通管理, 2008, 10:50-51.
[133]杨晓光.道路网络交通流优化组织设计(二).道路交通管理, 2008, 11: 44-45.
[134]陈永恒.城市路网交通流组织评价方法研究[博士学位论文].长春:吉林大学, 2007.
[135]魏广奇.城市单向道路定向方法研究[博士学位论文].长沙:长沙理工大学, 2005.
[136]赵升.城市道单向交通影响、规划及综合评价研究[博士学位论文].成都:西南交通大学, 2002.
[137]伊新苗.城市单向交通效益分析与方案评价[博士学位论文].哈尔滨:哈尔滨工业大学, 2002.
[138]王仲.北京市交通组织优化与管理评价体系研究[博士学位论文].北京:北京工业大学, 2000.
[139]林震,杨浩.城市交通结构的优化模型分析.土木工程学报, 2005, 35(5): 100-104.
[140]宫晓燕,王飞跃,李润梅.城市单行交通的分析、设置和评价方法的探讨.交通运输系统工程与信息, 2005, 5(2): 85-89.
[141]翟忠民.道路交通组织优化.北京:人民交通出版社, 2004.
[142]郭龙.城市道路单向交通系统评价体系研究[博士学位论文].长安大学, 2004.
[143]钟永光,贾晓菁,李旭,等.系统动力学.北京:科学出版社, 2009.
[144]张国伍,贾顺平.交通运输系统动力学.成都:西南交通大学出版社, 1993.
[145]王荣辉.从系统动力学角度分析大力发展城市公共交通的重要性.城市公共交通, 2005, 10:35-38.
[146]B Jiang, C Claramunt. TopologicalAnalysis of Urban Street Networks. Environment and PlanningB,2003, 31
[147]陈丕刚.多交叉路口模糊线控制模型研究.交通运输系统工程与信息, 2003, 3(2): 43-46
[148]Payne H J. Models of freeway traffic and control. Mathematical Methods of Public Systems,1971,1(1):51-61
[149]段里仁,王耘非,任大任.道路交通自动控制系统.中国人民公安大学出版社, 1998
[150]任江涛,张毅,李志恒,等.面向信息应用的ITS信息模型及交换模式.清华大学学报, 2002, 3:417-420
[151]Lo, Hong K, Chow, H F. Adaptive traffic control system: Control strategy, prediction, resolution, andaccuracy. Journal ofAdvancedTransportation Fall, 2002,36(3):323-347
[152]顾九春,于泉,王海忠,等.城市交通信号控制系统研究(一).交通科技, 2004, 5:78-79
[153]刘智勇,梁渭清.城市交通信号控制的进展.公路交通科技, 2003, 20(6): 121-12
[154]欧海涛,张文渊.城市交通控制研究的新发展.信息与控制, 2000, 29(5): 441-54.
[155]Ji, Chang-Xu, Hu, Juan-Juan. Information processing in integration of urban traffic flow guidancesystem and traffic control system. Journal of Jilin University (Engineering and Technology Edition),2006,36:140-143
[156]翟润平,周彤梅.应用绿灯有效利用率实现感应控制的原理及方法研究.中国人民警官大学学报(自然科学版) , 1997,1:43-46
[157]Yu, De-Xin, Wang, et al. Urban road traffic control system and its coordinate optimization based onmulti-agent system. Journal of Jilin University (Engineering and Technology Edition) January,2006,36(1):113-118.
[158]杜西平. 2008天津统计年鉴.北京:中国统计出版社, 2008.
[2]陆化普,史其信. ITS––新一代道路交通系统.公路交通科技, 1997, 14(4): 42-47.
[3]陆化普.智能运输系统.北京:人民交通出版社, 2002.
[4]黄卫,陈里德.智能交通系统(ITS)概论.北京:人民交通出版社, 1999.
[5]易汉文.美国智能交通10年发展规划.国外城市规划,2002(4): 40-44.
[6] Hani S. Mahmassani, Ahmed S. Abdelghany, Mariette Kraan. Providing advanced andreal-time travel/traffic information to tourists. Report No. FHWA/TX-99/1744-S, October1998.
[7] Jean-Luc Ygnace, Chris Drane, Y. B. Yim, Renaud de Lacvivier. Travel time Estimation onthe San Francisco Bay Area Network Using Cellular Phones as Probes. California PATHWorking Paper UCB-ITS-PWP-2000-18, September 2000.
[8] Pearce, Vincent P. . Transguide leads the way in innovative transportation management.Public Roads, 1995, 59(1): 35.
[9]李淦山.日本智能交通(ITS)研究综述.国外公路,2000(8): 33-35.
[10]尚刚,陈宝.智能交通系统(ITS)在日本的发展综述.华东公路, 1999(3): 62-65.
[11] Catling Ian, McQueen Bob. Road transport informatics in Europe– A summary of currentdevelopments. Proceedings of the Jerusalem Conference on Information Technology, 1990.702-715.
[12] Bastiaansen Ad.. Navigable digital street map is the critical success factor for vehiclenavigation and transport information systems in Europe. IEEE Intelligent VehiclesSymposium, proceedings, 1996. 117-119.
[13] Bossom R. A. P.. ROMANSE system integration. IEE Conference Publication n454, 1998.238-242.
[14] Davies Peter, Porter clare. Advanced traveler information in the DRIVE II program.Proceedings of the IEEE-IEE Vehicle Navigation and Informations Systems Conference,1993: 92-95.
[15]杨平.纵贯欧洲的网络工程-智能交通系统.科技大视野,2001(1): 60-61.
[16]段里仁等.道路交通自动控制.北京:中国人民公安大学出版社,1991.
[17]王笑京.智能运输系统体系框架研究.交通与计算机,2001, 19(04):4-7.
[18]马振川.北京市的交通管理与智能交通系统.道路交通管理,1998(7): 40-42
[19]施兰章,上海智能交通系统的研究现状及应用前景.中国市政工程, 1998(1): 1-5.
[20]杨兆升.城市交通流诱导系统理论与模型.北京:人民交通出版社, 2000.
[21]杨兆升,关于智能运输系统的关键理论――综合路段行程时间预测的研究.交通运输工程学报,2001, 1(1): 65-67.
[22]杨兆升,朱中.交通流诱导的信息系统研究.公路交通科技, 1999, 16(4): 34-38.
[23] Jianming Hu, Zhaosheng Yang. Research on the Optimization of Urban Transit OperationsUsing Genetic Algorithms. Proceedings of ICTTS’2000,Beijing, 2000. 418-421.
[24]杨琪,王炜. OD出行矩阵的容量限制推算方法.公路交通科技,2002, 19(2): 37-40.
[25]石小法,王炜.高度信息化条件下的动态配流模型.东南大学学报(自然科学版) , 2001,31(2): 91-94.
[26]石小法,王炜,李文权.交通信息对交通网络的影响研究.系统工程学报,2001, 16(3):167-172.
[27]杨新苗,王炜.基于准实时信息的公交调度优化研究.交通与计算机, 2000, 18(5):12-15.
[28]杨东援,贾俊刚,徐士伟.城市交通信息系统规划研究. 1999中国城市交通规划学术委员会年会上的发言.
[29]汪海渊,周英杰,杨东援,朱彦东.交通规划组群决策支持系统.交通与计算机,2001(S1): 13-16.
[30]杨佩昆,张树升.交通管理与控制.北京:人民交通出版社, 1998.
[31]钟邦秀,杨晓光.面向对象微观交通仿真系统的研究与实现.系统仿真学报, 2002,14(4):418-421.
[32]汪希室,张勇,张民.智能交通系统与智能铁路交通系统分析.北方交通大学学报, 2000,24(5): 1-6.
[33]申金升,关伟,高辉.基于ITS和EC的智能物流系统.交通运输系统工程与信息, 2001,1(4): 294-298.
[34]张飞舟,晏磊,范跃祖,孙先仿.智能交通系统中的公交车辆动态调度研究.公路交通科技, 2002, 19(3): 123-126.
[35]张飞舟,黄继勋,王常荣,范跃祖,孙先仿. GPS/GLONASS组合导航定位技术在ITS中的应用.系统工程理论与实践, 2001(1):114-119.
[36]杨东凯,张其善,吴今培.公交GPS车辆监控系统研究.电子技术应用,2000(4): 25-27.
[37]胡明伟,史其信.智能运输系统(ITS)评价方法研究.公路交通科技,2001, 18(5): 46-50.
[38]胡明伟,史其信.支持ITS影响评价的交通仿真模型研究.公路交通科技,2001, 18(6):73-77.
[39]袁虹,陆化普.综合交通枢纽布局规划模型与方法研究.公路交通科技,2001, 18(3):101-105.
[40]陆化普,殷亚峰.动态系统最优分配模型的研究.公路交通科技, 1996, 13(4): 12-19.
[41]郑四发,班学钢,邹旭东,连小珉.基于GPS信号的导航地图路网生成方法研究.公路交通科技, 2002, 19(3): 115-118.
[42]王其藩.系统动力学[M].清华大学出版社,1994.
[43]贾仁安,丁荣华.系统动力学--反馈动态性复杂分析[M].高等教育出版社,2002
[44]蔡林.城市生活垃圾管理系统动力学模型研究—以北京市为例[M].知识产权出版社,2009.
[45]关宏志,陈艳艳,刘小明,等.基本路段机非混合交通流的解析模型.北京工业大学学报, 2001,27(1):12-15.
[46]王明文.非机动车对路段交通流影响的研究[硕士学位论文].北京:北京工业大学, 2004.
[47]关宏志,王明文,池红波.混合交通中非机动车对路段交通流的影响.北京工业大学学报, 2005,31(3):281-283.
[48] Masatu L.M. Chiguma. Analysis of side friction impacts on urban road links [D]. Sweden,Stockholm: Royal Institute ofTechnology, 2007.
[49]曲昭伟,周立军,王殿海.城市信号交叉口自行车及行人到达与释放规律.公路交通科技, 2004,21(8):91-94.
[50]孙明正,杨晓光.机非混行平面交叉口交通设计理论研究.公路交通科技, 2004, 21(8):82-86.
[51]徐良杰,王炜.信号交叉口行人过街时间模型.交通运输工程学报, 2005, 5(1):111-115.
[52]李建新,毛保华.混合交通环境下有信号平面交叉口通行能力研究.交通运输系统工程与信息,2001, 1(2):120-123.
[53]景春光.平面交叉口机非冲突机理及其应用研究[博士学位论文].吉林:吉林大学, 2005.
[54]徐良杰,王炜.左转自行车对直行机动车通行的影响分析模型.东南大学学报(自然科学版),2005, 35(5):805-809.
[55]徐良杰,王炜,俞斌.信号交叉口非机动车及行人交通控制研究.交通运输工程与信息学报,2004, 2(2):102-114.
[56]王国华.信号控制交叉口混合交通流特性研究[硕士学位论文].吉林:吉林大学, 2004.
[57] The Transportation Research Boards. Highway capacity manual 2000 [M]. National ResearchCouncil:Washington, D. C.2000.
[58]王殿海.交通流理论.北京:人民交通出版社, 2002.
[59] Greenberg, I.The log-normal distribution of headways.Australian Road Research, 1966, 2(7):14-18.
[60] Tolle, J.E. The lognormal headway distribution model. Traffic Engineer and Control, 1971,13(1):22-24.
[61] Cowan, R.J. Useful headway models.Transportation Research, 1975, 9(6):371-375.
[62] Sullivan, D.P., Troutbeck, R.J. The use of Cowan’s M3 headway distribution for modeling urbantraffic flow.Traffic Engineering and Control, 1994, 35(7):445-450.
[63] Luttinen, R.T. Properties of Cowan M3 headway distribution. Transportation Research Record:Journal of theTransportation Research Board, 1999, No.1678:189–196.
[64] Hagring, O. The use of the Cowan M3 distribution for modeling roundabout flow. TrafficEngineering and Control, 1996, 37(5):328-332.
[65] Griffiths, J.D., Hunt, J.G. Vehicle headways in urban areas. Traffic Engineering Control, 1991,32(10):458-462.
[66] Zhang, G., Wang, Y., Wei, H., et al. Examining Headway Distribution Models with Urban FreewayLoop Event Data,Transportation Research Record, 2007, No.1999:141-149.
[67] R. Tapio Luttinen. Statistical analysis of vehicle time headways [D]. Finland, Neopoli, Lahti:Helsinki University ofTechnology Lahti Center, 1996.
[68]何民,荣健,刘小明.自然交通流的跟驰特性研究.公路交通科技, 2002, 19(3):110-114.
[69]黄荣,郭敏,陈绍宽,等.拥堵状态下信号交叉口通行能力计算方法.交通运输系统工程与信息, 2008, 8(3):58-65.
[70]翁彦琳.城市混合交通系统建模与仿真研究[硕士学位论文].浙江:浙江大学, 2002.
[71]王华东.城市混合交通系统的建模方法与应用研究[博士学位论文].浙江:浙江大学, 2003.
[72]张晋.基于元胞自动机的城域混合交通流建模方法研究[博士学位论文].浙江:浙江大学,2004.
[73] A.J. Miller, A computer control system for traffic networks。Proc, 2nd Int. Symp.Traffic Theory, 200-220, 2003.
[74] B. Jiang,C. Claramunt,Topological Analysis of Urban Street Networks,Environment andPlanning B,Vol. 31 2003.
[75] The Transportation Research Boards. Highway capacity manual 2000 [M]. National ResearchCouncil:Washington, D. C.2000.
[76] Ferguson E. Transportation demand management planning, development and implementation.Journal of theAmerican PlanningAssociation, 1990, 56(4): 442-456.
[77]崔新书,“城市道路交通组织设计探讨”,城市道桥与防洪, 2004年6期21-26
[78]裴玉龙,伊新苗.“城市单向交通组织方案规划及其评价研究”,东北公路, 2003年26卷3期118-120,113
[79]文国玮.城市交通与道路系统规划.北京:清华大学出版社,2001.
[80]陆化普.城市交通现代化管理.北京:人民交通出版社,1999
[81]徐循初.城市道路与交通规划(上册) .北京:中国建筑工业出版社, 2005。
[82]王炜,徐吉谦,杨涛.城市交通规划理论及其应用.南京:东南大学出版社, 1998
[83]黎茂盛,王炜,史峰.“含有分车种禁行路段网络的交通平衡分析”,东南大学学报2006年36卷4期630-633
[84]江强.“浅谈城市道路单向交通”,交通与运输, 2001年4期21-22
[85] Boillot, Florence, Pierrelee, Jean-Claude.“The real-time urban traffic control systemCRONOS: Algorithm and experiments”, Transportation Research Part C: EmergingTechnologies February, 2006 14 1 18-38
[86]刘小明,王飞跃.基于Agent的区域交通流协调控制的研究,计算机工程,2003,29(9):45-47
[87]李刚,孙义和,花泽庆.适应中国国情的城市智能化交通信号控制算法研究. ITS通讯,2001(2):42-49
[88] Wu, Ming-Hui, Tan, Zhi-Hui.“Study and simulation on traffic signal optimization controlmodel of intersection”, Journal of System Simulation July, 2006 18 7 1866-1869.
[89] Chen, Xiao-Ming, Guo, Yu-Su.“Studies on traffic signal optimization combined with userequilibrium assignment”, Journal of Beijing Jiaotong University June, 2007 31 3 18-21+2
[90] Timbrook, P, Gupta, A.“Cross-Jurisdictional Signal Coordination: Case Studies”, ScienceApplications International Corp., Oak Ridge, TN. Feb 2002.
[91] Xu, L, Huang, Y.“A multi-phase fuzzy controller for urban intersections and itsimplementation by bp neural network”, DYNAMICS OF CONTINUOUS DISCRETE ANDIMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS 14: 1753-1757 Part4 AUG 2007
[92] Alipour, Muhammad Amin.“Reactive agent for urban traffic control”, Proceedings of theEighteenth International Florida Artificial Intelligence Research Society Conference,FLAIRS 2005 - Recent Advances in Artifical Intelligence 2005 808-809
[93]马寿峰,李艳君,贺国光.城市交通控制与诱导协调模式的系统分析,管理科学学报,2003年03期:45-52.
[94]沈国江,孙优贤,城市交通干线递阶模糊控制及其神经网络实现,系统工程理论与实践,2004,4:99-105
[95]王大海,张晓峰,张廷山,桑兆辉,王立锦,自协调变周期的交通信号集散控制系统——论第三代城市交通信号控制系统,湖北省科学院学报,1997,3:8-13
[96] Luo, YG, Zang, LL.“Application of fuzzy neural network algorithm for urban traffic”,DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIESB-APPLICATIONS & ALGORITHMS 13E: 2791-2794 Part 6 Suppl. S DEC 2006
[97]陈丕刚,多交叉路口模糊线控制模型研究,交通运输系统工程与信息,2003,5,3(2):43-46
[98] Payne H J. Models of freeway traffic and control. Mathematical Methods of PublicSystems,1971; 1(1): 51-61
[99]段里仁,王耘非,任大任,“道路交通自动控制系统”,中国人民公安大学出版社,1998
[100]任江涛,张毅,李志恒,胡东成.面向信息应用的ITS信息模型及交换模式.清华大学学报,2002,3:417-420
[101]Lo, Hong K, Chow, H.F.“Adaptive traffic control system: Control strategy, prediction, resolution,and accuracy”, Journal ofAdvancedTransportation Fall, 2002 36 3 323-347
[102]顾九春,于泉,王海忠,石建军.城市交通信号控制系统研究(一).交通科技,2004,5:78-79
[103]刘智勇,梁渭清城市交通信号控制的进展公路交通科技, 2003, 20 (6):121-12
[104]欧海涛,张文渊,等城市交通控制研究的新发展信息与控制, 2000, 29 (5): 441-54
[105]Ji, Chang-Xu, Hu, Juan-Juan.“Information processing in integration of urban traffic flow guidancesystem and traffic control system”, Journal of Jilin University (Engineering and Technology Edition)March, 2006 36 SUPPL. 140-143
[106]翟润平,周彤梅。应用绿灯有效利用率实现感应控制的原理及方法研究.中国人民警官大学学报(自然科学版) , 1997 (1) : 43-46
[107]Yu, De-Xin, Wang, Yuan.“Urban road traffic control system and its coordinate optimization basedon multi-agent system”, Journal of Jilin University (Engineering and Technology Edition) January,2006 36 1 113-118
[108]李显生.基于需求识别和绿信比优化的单点感应控制方法。道路交通管理,2002 (10) :35-36
[109]保丽霞,杨兆升,朱国华.交通信号控制与交通流诱导的多级协同运作机理分析,第六届全国交通运输领域青年学术会议,2005, 08:697-700.
[110]韩志新,魏连雨.“交通管理中控制系统与诱导系统协调理论探索”,河北工业大学学报, 2003年01期
[111]李瑞敏,史其信.基于多Agent系统的城市交通控制与诱导协同化研究.公路交通科技,2004,21 (5):109-11
[112]李振龙.“城市交通诱导策略的探讨”,交通科技, 2003年01期
[113]靳玫.北京市交通结构演变的系统动力学模型研究:[硕士学位论文].北京:北京交通大学,2007.
[114]王继峰,陆华普,彭唬.城市交通系统的SD模型及其应用.交通运输系统工程与信息, 2008,8(3):83-89.
[115]Su Y, Lu L, Yao D, et al. Transportation demand management for Beijing 2008 Olympic Games [C].Proceedings of 12th IEEE Intelligent Transportation Systems Conference, St. Louis, Missouri, USA,2009.
[116]苏岳龙,姚丹亚,张毅,等.基于单双号限行措施的北京市交通需求管理策略分析.交通信息与安全, 2009, 27(3):29-31.
[117]奥运官网.交通限行措施基本达到预期目标奥运交通服务平稳运行[EB/OL]. [2008-07-29].http://www.beijing2008.cn/news/olympiccities/beijing/n214487473.shtml.
[118]钟永光,贾晓菁,李旭,等.系统动力学.北京:科学出版社, 2009.
[119]王其藩.系统动力学.第2版.北京:清华大学出版社, 1994.
[120]北京市公安局公安交通管理局. 2000年以来交通管理相关数字[EB/OL]. [2009-01-09].http://www.bjjtgl.gov.cn/publish/portal0/tab118.
[121]Zhao B, Zhao J, Wang J. Prospects and characteristics of urban public transport in China [C]. ASCE,Urban transportation systems—Implementing efficient urban transit systems and enhance transitusage,ASCE, NewYork, 2000.
[122]Liu R, Guan C. Mode biases of urban transportation policies in China and their applications. Journalof Urban Planning and Development, 2005, 131(2): 58-70.
[123]王振报.北京市交通需求管理(TDM)政策研究:[硕士学位论文].北京:北京工业大学, 2006.
[124]杨夫军.交通需求管理评价指标体系研究:[硕士学位论文].江苏:东南大学, 2006.
[125]郭继孚,毛保华,刘迁,等.交通需求管理——一体化的交通政策及实践研究.北京:科学出版社, 2009.
[126]Bautz J. Suburban gridlock: fighting congestion to improve mobility. Transportation Research News,1998, 138 (September-October): 8-10.
[127]Tate, J. E., Bell M.C. Evaluation of a traffic demand management strategy to improve quality inurban areas [C]. Proc., IEE Tenth International Conference on Road Transport Information andControl, London, IEEE, 2000:158-162.
[128]Giuliano G. Transportation demand management promise or panacea? Journal of the AmericanPlanningAssociation, 1992, 58(3):327-335.
[129]Hensher, D. A., Puckett, S. M. Congestion and variable user charging as an effective travel demandmanagement instrument.Transportation Research PartA, 2007, 41(7):615-626.
[130]Hug K, Mock-Hecker R, Wurtenberger J. Transport demand management byelectronic fee collectionin a zone-based pricing scheme: the Stuttgart MobilPASS field trial. Transportation Research Record,1997, 1576:69-76.
[131]张雪梅.平面交叉路口交通流组织探讨.公安大学学报, 2003, 33(1): 76-79.
[132]杨晓光.道路网络交通流优化组织设计(一).道路交通管理, 2008, 10:50-51.
[133]杨晓光.道路网络交通流优化组织设计(二).道路交通管理, 2008, 11: 44-45.
[134]陈永恒.城市路网交通流组织评价方法研究[博士学位论文].长春:吉林大学, 2007.
[135]魏广奇.城市单向道路定向方法研究[博士学位论文].长沙:长沙理工大学, 2005.
[136]赵升.城市道单向交通影响、规划及综合评价研究[博士学位论文].成都:西南交通大学, 2002.
[137]伊新苗.城市单向交通效益分析与方案评价[博士学位论文].哈尔滨:哈尔滨工业大学, 2002.
[138]王仲.北京市交通组织优化与管理评价体系研究[博士学位论文].北京:北京工业大学, 2000.
[139]林震,杨浩.城市交通结构的优化模型分析.土木工程学报, 2005, 35(5): 100-104.
[140]宫晓燕,王飞跃,李润梅.城市单行交通的分析、设置和评价方法的探讨.交通运输系统工程与信息, 2005, 5(2): 85-89.
[141]翟忠民.道路交通组织优化.北京:人民交通出版社, 2004.
[142]郭龙.城市道路单向交通系统评价体系研究[博士学位论文].长安大学, 2004.
[143]钟永光,贾晓菁,李旭,等.系统动力学.北京:科学出版社, 2009.
[144]张国伍,贾顺平.交通运输系统动力学.成都:西南交通大学出版社, 1993.
[145]王荣辉.从系统动力学角度分析大力发展城市公共交通的重要性.城市公共交通, 2005, 10:35-38.
[146]B Jiang, C Claramunt. TopologicalAnalysis of Urban Street Networks. Environment and PlanningB,2003, 31
[147]陈丕刚.多交叉路口模糊线控制模型研究.交通运输系统工程与信息, 2003, 3(2): 43-46
[148]Payne H J. Models of freeway traffic and control. Mathematical Methods of Public Systems,1971,1(1):51-61
[149]段里仁,王耘非,任大任.道路交通自动控制系统.中国人民公安大学出版社, 1998
[150]任江涛,张毅,李志恒,等.面向信息应用的ITS信息模型及交换模式.清华大学学报, 2002, 3:417-420
[151]Lo, Hong K, Chow, H F. Adaptive traffic control system: Control strategy, prediction, resolution, andaccuracy. Journal ofAdvancedTransportation Fall, 2002,36(3):323-347
[152]顾九春,于泉,王海忠,等.城市交通信号控制系统研究(一).交通科技, 2004, 5:78-79
[153]刘智勇,梁渭清.城市交通信号控制的进展.公路交通科技, 2003, 20(6): 121-12
[154]欧海涛,张文渊.城市交通控制研究的新发展.信息与控制, 2000, 29(5): 441-54.
[155]Ji, Chang-Xu, Hu, Juan-Juan. Information processing in integration of urban traffic flow guidancesystem and traffic control system. Journal of Jilin University (Engineering and Technology Edition),2006,36:140-143
[156]翟润平,周彤梅.应用绿灯有效利用率实现感应控制的原理及方法研究.中国人民警官大学学报(自然科学版) , 1997,1:43-46
[157]Yu, De-Xin, Wang, et al. Urban road traffic control system and its coordinate optimization based onmulti-agent system. Journal of Jilin University (Engineering and Technology Edition) January,2006,36(1):113-118.
[158]杜西平. 2008天津统计年鉴.北京:中国统计出版社, 2008.