非常态事件影响下的交通组织规划及交通流模拟研究
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摘要
天有不测风云,人类经常面临着一种极端方式的考验:或者暴雨倾盆,泽国一片;或者地震海啸,房倒屋塌……近年来,大自然的这种非常态现象更是频繁地出现,无论是汶川大地震,还是莫拉克台风,都对人类的生命和财产安全构成了极大的危害;此外,一些人为灾害也使人类猝不及防、深受其害,例如恐怖袭击、核物质泄漏……
     面对众多的非常态事件,人类就必须以非常态的手段去应对,建立一套应对灾害的应急机制和理论体系,居安思危、未雨绸缪。交通运输系统是灾害应急框架中的重要组成部分,是救援和疏散的生命线,其表现至关重要。本文研究的就是非常态事件影响下的交通组织与交通流仿真问题,为紧急情况下的快速救援和疏散提供理论支撑,为紧急情况下的路段疏导提供仿真依据。
     论文从宏观和微观两个层次对非常态事件影响下的交通系统进行了研究:首先借助动态交通流分配理论,探索非常态事件影响下的交通组织问题;其次对道路上的扰动因子和堵塞传播进行了微观仿真研究。研究工作主要可以归纳为以下几个方面:
     (1)首先对“非常态事件”进行了定义。此外,探讨了非常态事件对交通系统的影响,主要体现在对交通需求的影响和对交通网络的影响两个方面。还分析了非常态事件影响下的交通组织规划应满足系统优化原则(Wordrop第二原则)。在研究非常态事件影响下应急预案制定流程的基础上,探讨了交通组织方案的“规划——实施——修订”的互动过程。
     (2)设计了非常态事件影响下的交通组织方案生成模型与算法。非常态事件影响下,交通需求具有非常态特征,论文首先对非常态的交通需求进行了分类研究,在此基础之上,设计了交通组织方案的规划流程;根据交通组织方案的规划流程,设计了一系列流程节点所需模型和算法(包括路网能力评估模型和路网调整算法),为非常态事件影响下的交通组织方案规划提供了理论保障。
     (3)基于案例分析的非常态交通组织方案规划。针对非常态事件影响下的交通组织方案生成模型和算法,设计了算例进行验证分析。交通组织方案的规划过程包括了路网和需求的参数化处理、路网能力评估、路网结构调整等多个环节,每个环节均给出了详细演化过程,最后顺利求解得出路网调整方案、救援调度方案和疏散撤离方案,三者集成可获取非常态事件影响下的交通组织方案。
     (4)扰动因素影响下的道路系统安全模拟。非常态事件影响下,驾驶者的性格差异表现显著,本论文在对驾驶者进行性格归纳的基础上,建立了基于驾驶者性格差异的元胞自动机(CA)模型,并利用该模型有效地仿真了超速行为对交通流扰动的影响,为交通管理部门的政策制定提供了一定的理论和数据支撑。
     (5)意外事件所致堵塞的传播与消散研究。在非常态事件的影响下,路段上极易发生意外事件,意外事件所致堵塞的传播规律对交通组织方案的修订至关重要,论文基于元胞自动机交通流模型,有效模拟了意外事件下的侵犯性驾驶行为,建立了CACF模型,运用CACF模型能够较好地模拟出路段上意外事件所致拥堵在交通流中的传播过程,并定性地研究了常用交通控制手段对交通堵塞的消散效率。
Something unexpected may happen any time. Natural or man-made emergencies have always been a major concern to humanity and a threat to lives and property. Many commonly natural emergencies include hurricanes, earthquakes, and floods. Man-made ones include leakage of nuclear material, terrorist attacks and so on. Although we can do little to avoid disaster, there are ways to prepare emergency actions to reduce their threat.
     Traffic and transportation system is one of the most important parts in the emergency infrastructure. Its accessibility and mobility can directly affect the level of success in dealing with emergency accidents. Evacuation of people to safe locations, transportation of emergency material to the vital sites (e.g. nuclear plants, chemical plants and so on) all depend on the traffic system. This paper studies the traffic organization planning and traffic flow simulation under the influence of major public emergencies, supplies the theory and technology actions for the evacuation of people and disaster relief.
     This paper studies the traffic system under emergency accidents from macro-level and micro-level:firstly, the traffic organization planning is studied based on the model of dynamic network traffic flow; then the disturbance factors and congestion's propagation on road are simulated by models of road traffic flow. The main contents of the dissertation are summarized as follows:
     (1) Firstly, the"Major Public Emergencies (hereinafter referred to as the MPE)" is detailedly defined. Then its influence on the traffic system is studied which includes two parts:for traffic demand and for traffic network. The traffic organization planning should meet the principle of system optimization (Wordrop's second principle) under the influence of major public emergencies. Based on the implement process of emergencies plan, the process of "development, implement,improvement" for traffic organization planning is studied.
     (2) The models and arithmetics for traffic action's generation under emergency accidents are proposed. This paper firstly analyses the characteristics of traffic demand, then designs the program flow for traffic action's generation. Lastly, a set of models and arithmetics are proposed for key nodes of the program flow.
     (3) Case studies. A case is designed for Authentication of the models and arithmetics proposed before. The solution of case includes a number of links, e.g. parameter processing of the road network and traffic demand, capacity assessment of road network, structural adjustment of road network based on control action and so on. Lastly, the traffic action under emergency incidents can be generated.
     (4) The road system's safety simulation under disturbance factors. The drivers' Personality differences will displayed significantly. This paper classified the typical characters, then proposed the cellular automaton (CA) model based drivers'Personality differences and simulates the speeding's disturbance for traffic flow. The simulation will help the traffic management organization to improve policies.
     (5) Studies on road congestion's propagation and dissipation. Based on the emergency incidents, the traffic accidents become more than usual. This paper takes the rules of lane-changing as breakthrough point, and proposed a new CA model by which we can simulate the congestion's propagation. The dissipation efficiency of Common Traffic Control Methods can be also studied by the model.
引文
[1]金宝辉.灾害及紧急条件下的交通运输规划与管理.北京规划建设.2008.4:13-15
    [2]马宗晋.自然灾害与减灾(第1版).北京:地震出版社.1990
    [3]徐光炽.中国自然灾害灾情分析与减灾对策(第1版).武汉:湖北科技出版社.1992
    [4]W.N.Carter著.许厚德译.灾害管理手册.北京:地震出版社.1993
    [5]黄海军.道路交通流与网络交通流的研究现状与发展趋势.国家杰出青年科学基金实施十周年学术报告会摘要汇编.2008
    [6]J.P.Kinzer. Application of the theory of probability to problem of highway traffic, B.C.E. Thesis, Politech. Inst. Brooklyn.1934
    [7]W.F.Adams. Road traffic considered as a random series. J.Inst. Civil Eng.1936.4:121-130
    [8]B.D.Greenshidlds. A study of traffic capacity. Proc.Highway Res.1934.14:448-477
    [9]M.J.Lighthill,G.B.Whitham. On kinematic waves:a theory of traffic flow on long crowed roads. Proceedings of the Royal Scoiety.Ser.A.1955.229:317-345
    [10]P.I.Richards. Shock waves on the highway. Oper.Res.1956.4:42-41
    [11]H.J.Payne. Models of freeway traffic and control. Mathematical Models of Public Systems 1. 1971.1:51-56
    [12]H.J.Payne. A macroscopic simulation model for freeway traffic. Trans.Res.Rec.1979.722: 68-77
    [13]C.F. Daganzo. Requiem for second-order fluid approximation of traffic flow. Transpn.Res.B. 1995.29:277-286
    [14]R.Jiang, Q.S.Wu. A new continuum model for traffic flow and numerical tests. Transpn.Res.B. 2002.36:405-419
    [15]R.Jiang, Q.S.Wu. A new dynamics model for traffic flow. Chinese Sci.2001.46:345-349
    [16]A.AW.M.Rascle. Resurrection of "second order" models of traffic flow. SIAM J.Appl. Maht. 2000.60:916-938
    [17]H.M.Zhang. A non-equilibrium traffic flow model devoid of gas-like behavior. Transpn. Res.B.2002.36:275-290
    [18]A.Reuschel. Vehicle movements in a platoon. Oestereichisches Ingenieur-Archir.1950. 4:193-215
    [19]L.A.Pipes. An operational analysis of traffic dynamics. J.Appl.Phy.1953.24:274-281
    [20]S.Y. etal,. Dynamical phase transition in one dimensional traffic flow model with blockage. J.Phys.Soc.JPn.1994.63:3609-3618
    [21]S.T. etal,. Coupled map traffic flow simulator based on optimal velocity functions. J.Phys.Soc.JPn.1998.67:2270-2276
    [22]S.K. etal,. Metastable states in a microscopic model of traffic flow. Phys.Rev.E.1997.55: 5597-5602
    [23]B.Kerner,S.Klenov. A microscopic model for phase transitions in traffic flow. J.Phys.A.2002. 35:L31-L43
    [24]A.Sasoh. Impact of unsteady disturbance on multi-lane traffic flow. J.Phys.Soc.Jpn.2002.71: 989-996
    [25]B.Chopard,M.Droz, Cellular Automata Modeling of Physical Systems, Cambridge University Press, Cambridge,1998
    [26]M.Cremer, J.Ludwig. A fast simulation model for traffic flow on the basis of Boolean operations. J.Math. Comp.Simul.1986.28:297-303
    [27]S.Wolfram. Statistical mechanics of cellular automata. Rev.Mod.Phy.1983.55: 601-644
    [28]K.Nagel, M.Schreckenberg. A cellular automaton model for freeway traffic. JOURNAL DE PHYSIQUE.1992.2:2221-2229
    [29]O.Biham, A.A.Middleton, D.A.Levine. Self-organization and a dynamical transition in traffic flow model. Phys.Rev.A.1992.46:R6124-6127
    [30]I.Prigogine, R.Herman. Kinetic theory of vehicular traffic. American Elsevier. New York. 1971
    [31]S.L.Paveri-Fontana. On Boltzmann-like treatments for traffic flow, a critical review of the basic model and an alternative proposal for dilute traffic analysis. Tranpn.Res.1975.9: 225-235
    [32]D.Helbing. Derivation and empirical validation of a refined traffic flow model. Physica A. 1996.233:253-282
    [33]D.Helbing, A.Greiner. Modeling and simulation of multilane traffic flow. Phys.Rev.E.1997. 55:5498-5508
    [34]T.Nagatani. Kinetic segregation in a multilane of multilane traffic flow. Physica A.1997.237: 67-74
    [35]V.Shvetsov, D.Helbing. Macroscopic dynamics of multilane traffic. Phys.Rev.E.1999.59: 6328-6339
    [36]S.P.Hoogendoorn, P.H.L.Bovy. Contimuum modeling of multiclass traffic flow. Transpn.Res.B.2000.34:123-146
    [37]M.Treiber, A.Hennecke, D.Helbing. Derivation, Properties and simulation of a gas-kinetic-based nonlocal traffic model. Phy.Rev.E.1999.59:239-253
    [38]D.H. etal., Master:macroscopic traffic simulation based on a gas-kinetic, non-local traffic model. Transpn.Res.B.2001.35:183-211
    [39]S.Yagar. Dynamic traffic assignment by individual path minimisation and queuing. Transpn. Res.1971.5(3):179-196
    [40]W.C.Brastow. A model for dynamic traffic assignment in congested networks with shock waves. 1973. Ann Arbor, Mich.:UMI
    [41]H.S.Mahamassani, S.Peeta. Network performance under system optimal and user equilibrium dynamic assignment:implications for ATIS. Transpn.Res.Rec.1993.1408:83-93
    [42]H.S.Mahamassani, S.Peeta, T.Y.Hu, A.K.Ziliaskopoulos. Dynamic traffic assignment with multiple user classes for real-time ATIS/ATMS applications. Large Urban System. U. S. Federal Highway Administration.1992. Washington D.C.91-114
    [43]R.Jayakrishnan. In-vehicle information systems for network traffic control:a simulation framework to study alternative guidance strategies[Dissertation]. Austin, University of Texas. 1992
    [44]D.K.Merchant,G.L.Nemhauser. A model and an algorithm for the dynamic traffic assignment. Transportation Science.1978.12:183-199
    [45]D.K.Merchant,G.L.Nemhauser. Optimality conditions for a dynamic traffic assignment model. Transportation Science.1978.12:200-207
    [46]M.Carey. A constraint qualification for a dynamic traffic assignment model. Transportation Science.1986.20(1):55-58
    [47]M.Carey. Optimal time-varying flows on congesed networks. Operations Research.1987.35 (1):58-69
    [48]B.N.Janson. Dynamic traffic assignment for urban road network. Transpn.Res.B.1991.25: 143-161
    [49]任华玲.动态用户最优配流问题的模型与算法研究[学位论文].北京:北京交通大学.2004
    [50]H.K.Chen. Dynamic travel choice models:a variational inequality approach. Springer. Berlin, Germany.1999
    [51]B.Ran, D.E.Boyce. Modeling dynamic transportation network:an intelligent transportation system oriented approach. Springer. Heidelberg.1996
    [52]C.F.Daganzo. The cell transmission model:a simple dynamic representation of highway traffic. Transpn.Res.B.1994.28(4):269-287
    [53]C.F.Daganzo. The cell transmission model, Part Ⅱ:Network traffic. Transpn.Res.B.1995. 29(2):79-93
    [54]A.K.Ziliaskopoulos. A linear programming model for the single destination system optimum dynamic traffic assignment problem. Transportation Science.2000.34:37-49
    [55]Y.Li, A.K.Ziliaskopoulos etal., Linear Programming Formulations for System Optimum Dynamic Traffic Assignment with Arrival Time-based and Departure Time-based Demands. Transpn.Res.Rec.1999.1667:52-59
    [56]范保俊.中国自然灾害与灾害管理.哈尔滨:黑龙江教育出版社.1998
    [57]庞德谦,周旗,方修琦.灾害对策学.北京:中国环境科学出版社.1997
    [58]刘波,姚清林,卢振恒,马宗晋.灾害管理学.长沙:湖南人民出版社.1998
    [59]邹铭.区域自然灾害救助的理论与实践[学位论文].北京:北京师范大学.2004
    [60]马颖.城市交通生命线系统及其脆弱性的内涵和后果表现分析.价值工程.2006.12:17-21
    [61]云辉,戴香菊.城市交通网络—用数学规划方法进行网络平衡分析.成都:西南交通大学出版社.1992
    [62]陆化普.智能运输系统.北京:人民交通出版社.2002
    [63]周彤梅,冶文斌.道路交通控制的发展趋势研究.中国人民公安大学学报(自然科学版),2002.6:49-53
    [64]马海峰,王炜,李文权.高速公路流量与入口匝道流量间的相互关系.交通运输工程与信息学报.2003.1(2):87-90
    [65]丁建梅,王可崇.高速公路入口匝道交通模糊控制研究.哈尔滨工业大学学报(自然科学版).2002.34(5):671-674
    [66]Apostolos Kostsialos, Markos Papageorgiou etal., Coordinated and integrated control of moterway networks via non-linear optimal control. Transpn.Res.C,2002.10:65-84
    [67]Messmer, M.Papageorgiou. A macroscopic simulation program for motorway networks. Traffic engineering and control.1990.31:466-470
    [68]A.D.Alessandri, A.F.Febbrara. Optimal control of freeways via speed signaling and ramp
    metering. Control Engineering Practice.1998.6:771-780
    [69]D.Christina,P.Markos. Simulation Studies of integrated corridor in Glasgow. Transpn. Res.C. 1997.5:211-224
    [70]Papageorgiou, Messmer. Dynamic network traffic assignment and route guidance via feedback regulation. Transpn. Res.Rec.1991.1306:49-58
    [71]杨晓光.城市高速道路交通系统动态控制方法的研究[学位论文].上海:同济大学.1994
    [72]顾培亮.系统分析与协调(第1版).天津:天津大学出版社.1998
    [73]B.Ran, W.R.Hall., D.E.Boyce. A link-based variational inequality model for dynamic departure time/route choice. Transpn.Res.B.1996.30 (1):31-46
    [74]H.K.Lo, W.Y.Szeto. A cell-based variational inequality formulation of the dynamic user optimal assignment problem. Transpn.Res.B.2002.36 (5):421-443
    [75]H.J. Huang, Lam. Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues. Transpn. Res.B.2002.36 (3):253-273
    [76]P.Blaikie, T.Cannon, I.Davis. At Risk:Natural Hazards, People's Vulnerability, and Disasters. Routledge, London.1994
    [77]史培军.三论灾害研究的理论与实践.自然灾害学报.2002.11(3):1-9
    [78]施张兴.我国南方遭受罕见低温、雨雪、冰冻灾害之后对公路交通运输的反思.交通世界.2008.13:36-37
    [79]徐国栋,方伟华,史培军等.汶川地震损失快速评估.地震工程与工程振动.2008.28(6):74-83
    [80]王东升,郭迅,孙治国等.汶川大地震公路桥梁震害初步调查.地震工程与工程振动.2009.29(3):84-94
    [81]李军,曾鹦,李妍峰.基于汶川地震的震后交通受损评估研究.管理评论.2008.20(12):35-40
    [82]严新平,熊伟.非常态事件下城市交通的解决方案研究.交通运输系统工程与信息.2008.8(6):78-84
    [83]黄海军.城市交通网络动态建模与交通行为研究.管理学报.2005.2(1):18-22
    [84]金键.城市道路交通网络可靠性探讨.交通运输工程与信息学报.2004.2(2):76-83
    [85]高自友,任华玲.城市动态交通流分配模型与算法.北京:人民交通出版社.2005
    [86]J.GWardrop. Some theoretical aspects of road traffic research, Proceedings. Institute of Civil Engineers, PART Ⅱ,1952.1:325-378.
    [87]M.Beckmann, C.B.Mcguire, C.B.Winsten. Studies in the Economics of Transportation. Yale Univerisity Press.1956
    [88]黄海军.城市交通网络平衡分析.北京:人民交通出版社.1994
    [89]国务院法制办政法司.中华人民共和国道路交通安全法释义.北京:人民交通出版社.2003
    [90]龚鹏飞.交通管制若干问题研究.道路交通与安全.2006.6(12):9-13
    [91]许永惠.我国突发性自然灾害应急机制研究[学位论文].南京:河海大学.2008
    [92]胡运权,郭耀煌.运筹学教程.北京:清华大学出版社.2000
    [93]陈宝林.最优化理论与算法.北京:清华大学出版社.1989
    [94]A.K.Ziliaskopoulos, H.S.Mahmassani. A note on least time path computation considering delays and prohibitions for intersection movements. Transpn.Res.B.1996.5(30):359-367
    [95]P.GGipps. A model for the structure of lane-changing decisions. Transpn.Res. B.1986.20(5): 403-414
    [96]Arif Mehmood. Integrated simulation model for driver behavior using system dynamic. Canada: University of Waterloo.2003
    [97]Q.Yang, H.N.Koutsopoulos. A microscopic traffic simulator for evaluation of dynamic traffic management systems. Transpn.Res.C.1996.4(3):113-129
    [98]P.Hidas. Modelling lane changing and merging in microscopic traffic simulation. Transpn.Res.C.2002.10(5):351-371
    [99]T. Jim, P.Mussi, G. Siegel. A road traffic simulator:car-following and lane changing.2002
    [100]Y.L.Zhang, L.E.Owen, J.E.Clark. Multiregime approach for microscopic traffic simulation. Transpn.Res.Rec.1998.1644:103-115
    [101]J.G.Hunt, G.D.Lyons. Modelling of dual-car-riageway lane-changing using neural networks. Transpn.Res. C.1994.2(4):231-245
    [102]J.Wu. M. Brackstone, M.McDonald. Fuzzy systems for a motorway microscopic simulation model. Fuzzy Sets and Systems.2000.116(1):65-76
    [103]贾斌,高自友,李克平等.基于元胞自动机的交通系统建模与模拟.北京:科学出版社.2007
    [104]Debashish Chowdhury, Dietrich E. Wolf. Praticle hopping models for two-lane traffic with two kinds of vehicles:Effects of lane-changing rules. Physica A.1997.235:417-439
    [103]D.W. Huang. Lane-changing behavior on highways. Physical Review E.2002.66:026124
    [104]马兆有,王建强.超速行驶违法行为成因及预防对策.工业安全与环保.2006.32(9):58-60
    [105]蒋勇,马广才等.浅谈高速公路限速问题.交通标准化.2006.12:124-127
    [106]陈斌.高速公路交通意外事件管理关键技术.成都:西南交通大学出版社.2007
    [107]D.David, C. Richard. Aggressive driving:an observational study of driver, vehicle, and situational variables. Accident Analysis and Prevention.2004.36:429-437
    [108]B.Jia,R. Jiang. Q.S. Wu. The traffic bottleneck effects caused by the lane closing in the cellular automata model. Int.J.Mod.Phys.2003.14(10):1295-1303
    [109]赵祥模,靳印利,张洋.高速公路监控系统理论及应用.北京:电子工业出版社.2003

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