基于智能的高速公路交通控制与管理系统研究
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摘要
高速公路以其大流量、快速、安全、舒适等特点已在道路交通中扮演了重要的角色并得以迅速发展,为改善我国交通运输状况及推动国民经济的发展作出了巨大的贡献。然而,交通拥挤及此引起交通延误、交通安全、环境污染及能源消耗等问题严重阻碍着高速公路效益的发挥。研究和实践表明,对高速公路进行交通控制与管理是解决上述问题的有效途径。
     高速公路交通控制与管理系统是一个包括人、车、路相互作用的复杂时变巨型系统,按传统的控制方法和常规管理手段很难达到满意的效果。因此,本文以交通控制与管理的集成化、智能化为基本思想,以智能工程(计算机科学、人工智能及系统工程)作为解决巨型复杂问题的方法论,就高速公路交通控制与管理问题展开了系统、深入的研究。概括起来有以下几方面:
     1、分析了高速公路交通流模型;研究了高速公路交通控制;论证了传统交通控制方法和策略的局限性,提出了高速公路交通智能控制的思想,并对智能控制策略进行了研究。
     2、集成交通控制是高速公路交通控制的最高形式。本文基于智能主体、系统科学及智能控制的理论与方法对高速公路集成交通控制系统进行了研究。首先阐述了智能主体的基本理论,分析了控制系统的基本结构,提出了高速公路交通集成控制系统的集散递阶体系结构。在此基础上建立了高速公路集成交通控制系统MAS模型,并对该MAS中主体的结构模型、构造方法、通信机制和协商机制进行了深入研究。
     3、ATMS是ITS的重要组成部分,也是ITS主要应用领域,本文对基于ATMS的高速公路交通控制与管理进行了研究。首先剖析先进交通管理系统(ATMS),指出ATMS是高速公路交通控制与管理系统智能化发展的方向。然后在分析高速公路交通控制与管理系统功能需求的基础上,提出基于ATMS的高速公路交通控制与管理系统的系统结构,并利用客户机/服务器技术就解决整个系统开放体系结构中的大量数据的集成问题进行了研究。最后,对AIDS作了深入分析,提出
    
    摘要
    了集成智能检测算法的思想,并对小波神经网络作了积极的探讨。
     4、鉴于我国的高速公路基本上是收费公路,论文对高速公路的收费管理进
    行了系统研究。首先综述了收费系统的基本理论和技术;然后对路网环境下的收
    费系统进行了深入研究,并对路网环境下收费存在的一些重要问题进行了剖析,
    给出相应的对策;最后,对电子收费(ETC)和组合式电子收费技术进行探讨。
     5、高速公路通信系统是高速公路交通控制和管理的通信平台,论文先从分
    析高速公路通信业务特点入手,深入研究了高速公路通信的组网技术(SDH、1P、
    ATM及网络技术的融合),提出了高速公路智能控制和管理的通信组网技术的优化
    选型,并给出了两个案例。
     最后,论文总结全文的研究工作,并对今后的研究方向进行了展望。
Characterized as large flux, high speed, safety and comfort, freeway develops rapidly and plays more and more important role in road-based transport system, and has made great contribution to improving the existing transportation situation and promoting the development of the national economy. However, the traffic congestion and the problems resulting from it, such as traffic delay, traffic safety, environment pollution and energy consuming, have constrained badly the effect of freeway transportation. According to relevant study and practices, the traffic control and management to freeway is effective way to solving these problems.
    The traffic control and management system of freeway is a Varying with time, large-scale complex system, which includes people, vehicle and road, and the traditional control method and general management means could not reach the satisfied result. Thus, based on integrated and intelligent notion of traffic control and management, regarding intelligence engineering (including computer science, artificial intelligence, systems engineering) as methodology which solves large-scale complex problems, this paper studies deep on the freeway traffic control and management. The main researches can be summed up as following aspects:
    1. Analyzing the model of freeway traffic flow , studying the freeway traffic control, demonstrating the limitation of traditional way and tactic in traffic control, putting forward the notion of freeway traffic intelligent control, and studying on the tactic in intelligent control system.
    
    
    
    2. The integrated traffic control is the highest traffic control form of freeway, based on theories and methods of intelligent agent, systems science and intelligent control, this paper studies on integrated traffic control system of freeway. Firstly, the paper elucidating the basic theory of intelligent agent, analyzing the basic structure of control system, putting forward the distributed hierarchical architecture of the integrated traffic control system of freeway. And based on these, the paper builds the MAS(Multiagent System) model of the integrated traffic controlling system of freeway, and studies agent construction model, agent constructing methods, multiagent communication and cooperative mechanism in MAS model.
    3. ATMS is an important part and main application field of ITS (Intelligent Transportation System), based on ATMS, the paper studies on the freeway traffic control and management system(FTCMS). Firstly, the paper analysis the ATMS (Advanced Traffic Management System), and points out that ATMS will be the direction of the intelligent development of FTCMS. Then, based on the function demand analysis on FTCMS, the paper brings forward the ATMS-based systems structure of FTCMS, by means of the client/server technology, studies the problem of the huge data integrating in the whole open-system architecture. Finally, AIDS(Auto Incident Detection System) is analysed deep, the notion of integrated intelligent detection algorithm is put forward, and the Wave_net is discussed in this paper.
    4. Considering that freeway is almost toll-highway in China, the paper studies on the toll management of freeway. Firstly, the paper summarizes the basic theory and technology of the toll system, then, studies toll system under the road-network environment, analyses some important problems existing in toll system under the road-network environment, and
    
    presents the relative measure. Finally, discusses the technology of ETC (Electronic Toll Collection) and combined ETC.
    5. The highway communication system was the information platform of freeway traffic control and management. Firstly, the paper analyses the characteristics of freeway communication operation, and studies the freeway buildup-network technology (SDH, IP, ATM, and the integrated network technology). Finally, the paper presents the optimization model of communication buildup-network technology for freeway intelligent controlling and management, and two examples are given.
    Finally, conclusions of all resea
引文
1.黄卫、陈里德.智能运输系统(ITS)概论.北京:人民交通出版社,1999
    2.刘伟铭、杨兆升.高速公路系统控制方法.北京:人民交通出版社,1998
    3.荆便顺著.道路交通控制工程.北京:人民交通出版社,1995
    4.美国运输部联邦公路管理局.高速公路管理.潘文敏等译.西安:西北工业大学出版社,1990
    5.[日]社团法人,交通工学院研究会编.智能运输系统.董国良等译.北京:人民交通出版社,2000
    6.陆化普、史其信.ITS--新一代道路交通系统.公路交通科技,1997,Vol.14 No.4
    7.马崇宪.高新技术在道路交通运输领域中的应用.公路交通科技,1998,Vol.15 No.2
    8.王一如、杨晓光.智能交通系统与通信技术.上海公路,1999.3
    9.张殿业.论ITS发展阶段的技术模式.中国公路学报,2000,Vol.13 No.2
    10.姜紫峰、荆便顺.人工神经网络在交通领域中的应用.公路交通科技,1997,Vol.14 No.4
    11.荆便顺、姜紫峰、巨永锋.智能运输系统对信息科学带来的机遇与挑战.交通与计算机,2001.3
    12.胡大伟、郭晓汾.智能运输系统(ITS)的发展与对策.西安公路交通大学学报,2000.1
    13.邹国平、郭晓汾.高速公路ITS体系结构.西安公路交通大学学报,2000.8(增刊)
    14.王笑京.智能运输系统体系框架研究.交通与计算机,2001.4
    15.杨晓光、彭国雄、王一如.高速公路交通事故预防与紧急救援系统.公路交通科技,1998.4 VOL15 NO.4
    16.翟高寿.基于智能工程的城市交通控制系统的研究.北方交通大学博士论文,2000.6
    17.张肿、王彦卿.高速公路交通工程及沿线设施.北京:人民交通出版社,1999
    18.黄梯云.智能决策支持系统.北京:电子工业出版社,2001
    19.李士永.模糊控制、神经控制和智能控制论.哈尔滨:哈尔滨工业大学出版,1996
    20.刘有才、刘增良.模糊专家系统原理与设计.北京:北京航天航空大学出版社,1995
    21.焦李成.神经网络系统理论.西安:西安电子科技大学出版社,1991
    
    
    22.易继鐟、侯媛彬.智能控制技术.北京:北京航天航空大学出版社,1999
    23.虞和齐、陈正等.基于神经网络的智能诊断.北京:冶金工业出版社,2000
    24.王土同.神经模糊系统及其应用.北京:北京航天航空大学出版社,1998
    25.罗霞等著.高等级公路交通流理论.成都:西南交通出版社,1999
    26.宫晓燕.高速公路交通流建模综述.交通运输工程学报,2002.3
    27.王亦兵、韩曾晋、贺国光.城市高速公路交通控制综述.自动化学报,1998,VOL.24 NO.4
    28.王亦兵等.城市高速公路交通中的控制问题.中国公路学报,1997,VOL.10 NO.3
    29. Zhang H. Some general results on the optimal ramp control problems. Transpn. Res -C, 1996, 4(2): 51-69
    30. PaPagergiou M. Multilayer control system applied to freway traffic IEEE Trans on Ac, 1984, 29(6): 482-490
    31. PaPageorgiou M. Freeway traffic modeling and control. Proc. Of the 4th IFAC/IFIP/IFORS conf. on control in Transportation system, Germany ,1983:195-202
    32. Ferrarip. The instability of motorway traffic. TransPn, Res, B, 1994, 28(2): 175-186
    33. Cremer M, PaPageorgiou M. Parameter identification for a traffic flow model. IEEE Trans. on SMC. 1976, 6(3): 176-185
    34. Cremer M, May A D. An extended traffic flow model for innerurban freeways. Prec. of 5th IFAC/IFIP/IFORS Intern. Conf. on Control in Transpan System, 1986:239-244
    35. Payne H J. Models of freeway traffic and control. Simulation council Proceedings. 1971, I(1):51-61
    36.王亦兵、韩学晋、史具信.高速公路交通流速模.系统工程学报,1998.6
    37. Nerell GF. Comments on Traffic Dynamics. Tromspan. Res-B 1989, 23(5): 386-389
    38. Yogoda H N. The dynamic control of automotive traffic at a freeway entrance tamp. Automatica, 1970.6(92): 385-393
    39. Berger C R. Diversion control of freeway traffic. IFAC 6th Trion World congress. Boston, 1973, Part3, 4.3
    40. Maarservreen. A martingale approach to estimation and control of traffic flow on motorway. Proc 4th IFAC/IFIP/IFORS conf. On control in Transpan system Germany, 1983:203-210
    
    
    41. Smulder S A.Application of stochastic control concepts to freeway traffic control problem Proc 6th IFAC/IFIP/IFORS Conf.on control computers and communication in TransPn syst.,Paris,1989:221-227
    42. Baras JS.Levin W S.Discrete time Point Process in urban traffic queue estimation.IEEE Trans,on AC.1979:24:12-27
    43. Bagchi A.Modelling and estimation of traffic flow-A Martingale approach.Intern.J.System Sci.,1980:2(4) :429-444
    44. Balescu R,Prigogine I.Statistical hydrodynamics of traffic in vehicular Science,R.Herman.Eds,New York:American Elserier,1967:72-94
    45. Prigogine I,Herman R.Kinetic.Theory of Vehicalar traffic.New York:American Elservier,1971
    46. Febbraro A D.A new model for an integrated urban transportation network.The 7th IFAD/IFORS Symp.On TransP.Systems :Theory and Applications of Advanced Technology,1994
    47. Toshimitus.The l/f fluctation of a traffic current on an expressway .Japaness J.Appl Phs.,1976 15(7) :1271-1275
    48. Forbes GJ.The applicability of Catastrophe theory in modeling traffic operations TransP.Res.1990,24A(5) :335-344
    49. 顾国庆等.交通系统的元胞自动机模型.系统工程理论方法应用,1995,4
    50. Waffleworth J A.Peak Period control of a freeway-some theoretical investigation.Highway Res.Res 89,1965
    51. PaPageorgiou M.Optimal decomposition methods applied to motoway traffic control.Int.J.contr.1982. 35(2)
    52. Mahmoud M S.Optimization of freeway traffic control Problems.Optimal control Application and Methods.1988,9:37-49
    53. Smulder S A.Control of Freeway traffic flow by Variable Speed sign.Transp.Res.,Vol.24B,1989
    54. PaPageorgiou M.Dynamic modeling,assignment,and route guidance in traffic networks.TransPn.Res-B,1990. 24(6) :471-495
    
    
    55. Mersmer A, Papageorgin M. Automatic control method applied to freeway network traffic. Automatica. 1994, 30(4): 091-702
    56. Messmer A. Papageorgin M. Route diversion control in motoway networks via nonlinear Optimization. IEEE control system Technology. 1995, 3(1): 144-154
    57. Meoreno J C, Papageorgiou M. Integrated Optimal flow control in traffic networks. Europeam Journal of operational Research, 1993, 71(2): 317-323
    58. Papageorgiou. A neural network approach to freeway network traffic control. The 7th IFAC/IFORS Symp. On Transp System: Theory and Application of Advanced Technology. 1994:809-815
    59. Payne H J. Allocation of freeway ramp metering Volumes to Optimize corridor Performance. IEEE Trans. On AC. , 1979, 19(3): 177-186
    60. Papageorgiou M. An integrated control approach for traffic corridors. TransPn. Res. -C, 1995. 3(1)
    61. Chang G L. A dynamic System-Optimal control model for commuting traffic corridors. Transpn. Res-C, 1993, 1(1): 3-22
    62. Haj-Salem. Ramp metering impact on urban traffic: field results. TransPn. Res- A, 1995; 29: 303-319
    63. Dialakic. Simulation studies of integrated corridors control in Glasgow. Transpn. Res. C, 1997. 5(3/4): 311-224
    64. Iida Y. A formulation of on-romp Waffle control system with route guidance for urban expressway. The 6th IFAC/IFORS Symp. On control, computer, communication in TransPn Systems 1989
    65. Yang Hai, Yagar S. An algorithm for the inflow control Problem on urban freeway networks with user Optimal flow. TransPn. Res,-B, 1994, 28(2): 123-139
    66.查建中.智能工程.机械工业出版社,1992
    67.达庆利、何建敏.大系统理论与方法.南京:东南大学出版社,1989
    68.涂序彦.大系统控制论.北京:国际工业出版社,1994
    69.王雨田.控制论、信息论、系统科学与哲学.北京:中国人民大学出版社,1993
    70.王冀、张朝池.大系统控制方法与技术.天津:天津大学出版社,1996
    
    
    71. 蔡自兴等.人工智能及其应用.北京:清华大学出版社,1996
    72. R.Eberhart,P.simpson,R.Dobbins.Computational Intelligance PC Tools.Academic Press,Inc.USA 199A
    73. Kashani H R,Sardis G N.Intelligent control for urban traffic systems.Automatica,1983,19(2) :191-197
    74. Sardis G N.A hierarchically intelligent control system for urban and freeway traffic.Technical Report,TR-EE-81-19,Purdue unirersity,1981
    75. Pappis C P,Mamdani E H.A fuzzy logic controller for a traffic junction .IEEE Trans.On SMC,1977. 7(10) 707-717
    76. Sasaki T.Fuzzy on-ramp control model on urban expressway and its extension.Intern.Symp.on Transpan and Traffic Theory.1987:377-395
    77. Chen L.L.Freeway ramp control using fuzzy set theory for inexact reasoning.TransPn.Res-B,1990,24(1)
    78. Chang E C.Fuzzy Set application for freeway incident detection.IEEE Intelligent Vehicles Symposium.1993 439-443
    79. Krause B.Intelligent highway by fuzzy logic:congestion detection and traffic control on multi-lane roads with variable road signs.Proc of the 5th IEEE International conf.On Fuzzy systems,1996,part 3:1832-1837
    80. Patel M I.An intelligent system architecture for urban traffic control applications.Proc of the 8th IEEE SymP.On Parallel and Distributed Processing.1996:10-17
    81. Xu H.Real-time adative on-line traffic incident detection.Proc.of the IEEE international SymP.On Intelligent Contrl,1996:200-205
    82. Nguyen D H.Neural network for self-learning control system.IEEE control system Magazine.1990,10 (1)
    83. Parisini R,Zoppfi T.Neural network for feedback feedforward nonlinear control system.IEEE.Trans.On NN,1994
    84. Parisini R,Zoppfi T.Neural network for minimization of traveling time on freeway systems.The 7?IFAC/IFORS SymP.On TransP system:Theory and Applications of Advanced Technology,1994:803-808
    
    
    85. Zhang H.A local neural network controller for freeway ramp metering.The 7th IFAC/IFORS Symp.On TransP Syst.:Theory and Application of Advanced Technology,1994:704-707
    86. PaPageorgion M.A neural network approach to freeway network traffic control.The 7th IFAC/IFORS Sym.On Transp Systems:Theory and Applications of Advanced Technology.1994:809-814
    87. Florio L.Neural network Classification and forecasting of freeway traffic flow Stability.The 7th IFAC/IFORS SymP.On Transp Systems:Theory and Application of Advanced Technoloty,1994. 1122-1133
    88. 刘智勇等.高速公路智能交通控制系统的建模及多层描述.公路交通科技,1998. 3
    89. 史忠植等.智能主体及其应用.北京:科学技术出版社,2000
    90. Bond,A.H.,Gasser,L.Readings of Distributed Artificial Intelligence.Morgan Kaufmann,1988
    91. Ljungberg,M.,Lucas A.The OASIS air traffic management System.PRICAI'92,Seoul,Korea,1992,1003-1009
    92. Lux Steiner D.D.Understanding Cooperation:an agent's Perspective.In:Proc.of the First International conference on Multiagent System,San Francisco,1995
    93. Bonasso,Kortenkamp,Miller and Slack.Experience with an architecture for intelligent,Archifectures,and Language (ATAL-95) ,1995
    94. Jennings N.R.cooperation In Industrial Multi-Agent System,world scientific series in computer science,1994
    95. Etzioni,O,Weid D.A Soft-based Interface to the internet.Communication of ACM,1994. 37. 7
    96. Shi Zhongzhi ,Wei Li,Xiaoli Li,Ho Cao.Distributed Information Retrieval Agent JMAT.Hong Kong IAT'99,1999
    97. Wooldridge.M,N.R.Jennings.Agents Theories,Architectures and languge:a Survey. In wooldridge and Jannings.Intelligent Agents,Berlin:Springer-verlag,1995
    98. Genesereth,M.and Steven P.ketchpel.Software Agents.Communications of the ACM,1994,37(7)
    
    
    99. Minsky, Marvin. The Society of Mind. New Yord: Simon and Schuster, 1995
    100. Bates, T. The Role of Emotion in believable agents. Communications of ACM, 1994, 37(1)
    101. Shoham, Y. Agent-oriented Programming. Artificial Intelligence. 1993, 60:51-92
    102. Shoham, Y. Agent-oriented Programming: An overview and Summary of recent research. In Proc. of Artifical Intelligence. 1992
    103.刘龄德、夏国平.系统工程基础.北京:中央广播电视大学出版社,1985
    104.王俊普等.基于Agent的集散递阶智能控制的研究.控制与决策,200l vol.16 No.2
    105.刘金琨、王树青.多智能体控制系统的设计与实现.控制理论与应用,1999,Vol.16 No.4
    106.顾海涛、张卫东等.基于智能体技术的城市智能交通控制系统.电子学报,2000,Vol.28 No.12
    107.顾海涛,张卫东等.基于RMM和贝叶斯学习的城市交通多智体系统.控制与决策,2001,Vol.16 No.3
    108.王华东、吴铁军.城市混合交通网络分布式只能动态控制方法.ITS通讯,2000.3
    109.俞峥、李建勇.多智能体在交通控制系统中的应用.交通运输工程学报,2001.3 Vol 1 No.1
    110. Jnnings, N.R. Commitments and Conventions : The foundation of coordination in Multi-Agent System. The knowledge Engineering Review, 1993, vol. 83, 233-250
    111. Georgeff M P, Lansky A L. Reactive reasoning and Planning. In:: Proceedings of the sixth National conference on Artificial Intelligence (AAAI-87), 1987. pp 6
    112. Furguson I A. Towords an architecture for adaptive, rational, mobile agents. In Werner and Demazeau(eds) Decentralised AI 3-Proc. of the 3rd European Workshop on Mod, 1991
    113. Fischer K, Muller J P, Pischel M. A Pragmatic BDI Architecture. In Intelligent Agents Ⅱ. Lecture Notes on Artificial Intelligence , 1037, 1996, 203-218
    114. Muller J P. The Design of Intelligent Agents, A Layered Approach. Lecture Notes in Artificial Intelligenc 1177, Springer, 1996
    115. Zhongzhi, WangTao, Tian Qijia and Tang Hui. MAPE: Multi-Agent Processing Enviomment In: Zhang Zhi Shi(ed.) Proceedings of PRICAI'94. Beijing:International Academie Publisher. 1994
    
    
    116. Shi Zhongzhi, Wang tao, Wang Wenjie and Tian Qijia. A Flexible Architecture for Multi-Agent System. In PACE'95, 1995
    117.王涛、史忠植,田启家,王文杰.现实世界中的主体的一种复合结构.软件学报.第7卷增刊,1996
    118. Patil, R. S et al. The DARPA Knowledge sharing effort: Progress report In: C. Rich, W. Swartout and B. Nebel(eds). Proc. of knowledge Representation and Reasoning(KRR-92) . 1992. 777-778
    119. Austin, J.L. How to do things with words. Oxford university Press, 1962
    120. Labrou, Y., Finin T. A Proposal for a New KOML Specification. In TR CS-97-03
    121.杨炫普、李晓萌、许晓鸣.多智能体协作技术综述.信息与控制,2001,Vol.30 No.4
    122.张维明.智能协作信息技术.电子工业出版社,2002
    123. Doran, J E. , S. Franklin , N R. Jennings, and T.J. Norman. ON Cooperation in Multi-Agent Systems. The Knowledge Engineering Review, 1997 12(3), 309-314
    124. P M Jones, C M Mitchell. Human- computer cooperative Problem Solving: Theory, Design, and Evaluation of an Intelligent Associate system. IEEE Trans on System, Man and Cybernetics, 1995, 25(7): 1039-1053
    125. JS Rosenschein. Ratonal Interaction Cooperation Among Intelligent Agents, ph.D. Disertation, Stanfont University,1986
    126. C Hewitt. Open Systems Semantics for Distributed Artificial Intelligence. Artificial Intelligence, 1991.47:79-106
    127. J H Hu, D Wellman. Learning Models of Intelligent Agent. International Journal of Human-computer Studies, 1998, 48
    128. P Stone, M Veloso. Multiagent systems: A Survey Form the Machine Learning Perspective. IEEE Trans on Knowledge and Date Engineering, 1998;67-77
    129. Y Shoham, M Tennenholtz. On the Emergence of social conventions: Modeling Analysis, and Simulations. Artifical Intelligence, 1997. 94(1-2): 139-166
    130. D Pudenberg, DK Levine. The Theory of Learning in Games. The MIT Press, 1998
    131. C H C J Watkins, P Dayan. Q-Leaming .Machine Learning. 1992.8(3): 279-292
    132.涂序彦、李秀山、陈凯.智能管理.北京:清华大学出版社,1995
    
    
    133.余彦翔、黄卫、何铁军.电子收费系统(ETC)研究及其应用建议.ITS通信,1999
    131.陈里得、黄卫、杨卫泽.高速公路交通控制与管理系统的体系结构.东南大学学报.1998,Vol.28 No.3
    134.杨兆升、初连禹.动态路径诱导系统的研究进展.公路交通科技,2000,Vol.17 No.1
    135.高朝晖、黄卫.高速公路交通管理系统的应用研究.公路交通科技.2000,Vol.17 No.4
    136.高速公路丛书编委会.高速公路运营管理.北京:人民交通出版社,1996
    137.杨琪、刘小明.高速公路事件自动探测研究进展.公路交通科技,1997,Vol.14 No.2
    138.刘小明,杨琪,任福田.人工神经元网络探测高速公路事件研究,公路交通科技.1998,Vol.15 supl
    139.刘小明、段海林.高速公路事件自动侦测方法研究.中国公路学报,1997,Vol.10 No.4
    141.周伟、罗石贵.基于模糊综合识别的事件检测算法.西安公路交通大学学报,2000,Vol.20 No.3
    142.姜紫峰、刘小伸.基于神经网络的交通事件检测算法 西安公路交通大学学报,2000,Vol.20 No.3
    143.李文江、荆便顺等.基于小波分析的事件检测算法.西安公路交通大学学报,1997,Vol 117 No.2B
    144.高晰、贺国光等.小波理论及其在交通事件检测中的应用.公路交通科技,1999,Vol.16,No.3
    145.秦中元,牟轩沁,洪伟.基于小波变换的交通流量密度分析.公路交通科技,2001.Vol.18 No.1
    146.谭光荆、姜紫峰.高速公路事故自动检测算法的探讨.西安公路交通大学学报,1999,vol.19 No.3
    147. Michalopoulos P. G Automatic Incident Detection Through Video Image Processing. Traffic engineering and control, February, 1993
    148.关振柔.DSRC制式及其若干问题的评述.ITS通讯,2000,No4
    149.王笑京、蔡华,张兆海等.联网收费新形势下的组合式电子收费的技术方案.中国公路交通信息产业.2001,No.3
    150.余志杨、施鹏飞.基于DSRC的ITS电子收费系统研究.中国公路学报,2001,Vol.14
    
    No.1
    151.郑其俊、曹崇智.高速公路网络路径确认技术探讨.交通与计算机,2000,Vol.18 No.5
    152.彭惠、樊建荣.路桥收费数据的实时处理.信息与控制,2001,Vol.30 No.4
    153.邹国平.车道收费系统的关键技术及其Delphi环境下的实现.中国公路交通信息产业,2002,No.3
    154.邹国平.高等级公路半自动收费系统的研究与设计.江西交通,1999.6
    155.邹国平.昌樟、昌九高速公路封闭式收费系统可行性研究报告.江西省交通厅,2000.6
    156.邹国平、邓保华、黄铮.高速公路通信系统及其联网技术研究.高速公路文集.北京:人民交通出版社,2000.9
    157.邹国平等.江西高速公路网交通机电工程规划研究报告.江西省交通厅,2002.8
    158.赵慧玲、胡琳等.宽带Internet网络技术.北京:电子工业出版社,1999
    159.赵旭初编著.数据通信与连网技术.成都:电子科技大学出版社,1998
    160.“九五”国家重点科技攻关项目:中国智能运输体系框架研究总报告(上,下册).2001.7
    161.杨佩昆编著.智能交通运输系统结构.上海:同济大学出版社.2001.5
    162.蒋洪涛.高速公路通信系统及其联网.第二届中国高速公路机电项目研讨会.2000.4
    163.华为公司.HONET-FA16综合业务接入网
    164.交通部.高速公路联网收费暂行技术要求.北京:人民交通出版社,2000.10
    165.余彦翔、黄卫、何铁军.电子收费系统(ETC)研究及其应用建议.ITS通讯,1999.9
    166.邹国平.基于多智能体技术的高速公路分布式智能动态控制.第一届全国公路科技创新高层论坛论文集,智能交通与机电工程卷.北京:外文出版社,2002.5

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