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复杂系统与复杂性科学  2015, Vol. 12 Issue (4): 36-42    DOI: 10.13306/j.1672-3813.2015.04.005
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具有圈性结构的城市交通网络承载能力分析
杨国菁, 吴建军
北京交通大学轨道交通控制与安全国家重点实验室,北京 100044
Carrying Capacity Analysis of the Urban Traffic Network Under Different Circuitness
YANG Guojing, WU Jianjun
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044,China
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摘要 建立了圈性网络的演化机理,研究了相同路网规模下具有不同圈性网络拓扑结构的交通承载能力,发现在流量不断加载并最终达到饱和状态的过程中,当圈性较小或者较大时,网络流量都比较容易达到饱和状态。相反,当圈性在0.54附近时,网络则更不容易达到拥堵状态。
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杨国菁
吴建军
关键词 城市交通承载力网络结构圈性    
Abstract:In this paper, we establish the evolution mechanism of the circuitness of the urban traffic network, and obtain the different topologies of networks. Then, we study the traffic carrying capacity under different network topology structure. As a result, with the increasing network traffic flow, it is much easier to be saturated for the smaller and larger cirucitness. On the contrary, the network has the largest carrying capacity when the circuitness is about 0.54.
Key wordsurban traffic    network carrying capacity    network structure    circuitness
收稿日期: 2014-08-01      出版日期: 2026-06-22
ZTFLH:  U491.1  
基金资助:国家自然科学基金(71271024);教育部新世纪优秀人才支持计划(NCET-12-0764)
作者简介: 杨国菁(1989-),女,河南新乡人,硕士研究生,主要研究方向为交通运输系统分析与集成。
引用本文:   
杨国菁, 吴建军. 具有圈性结构的城市交通网络承载能力分析[J]. 复杂系统与复杂性科学, 2015, 12(4): 36-42.
YANG Guojing, WU Jianjun. Carrying Capacity Analysis of the Urban Traffic Network Under Different Circuitness[J]. Complex Systems and Complexity Science, 2015, 12(4): 36-42.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2015.04.005      或      https://fzkx.qdu.edu.cn/CN/Y2015/V12/I4/36
[1] Ford L R Jr, Fulkerson D R. Solving the transportation problem[J].Management Science.1956, (10): 24-32.
[2] Asakura Y. Maximum capacity of road network constrained by user equilibrium conditions[C]//The Proceeding of 24th Annual Conference of the UTSG,Newcastle,1992:4.
[3] Yang H, Bell G H,Meng Q. Modeling the capacity and level of service of urban transportation network[J]. Transportation Research Part B,2000,34(4):255-275.
[4] 侯德勋. 城市交通承载力研究[D].上海: 同济大学, 2008.
Hou De Xun. The study of traffic carrying capacity[D]. Shanghai: Tongji University, 2008.
[5] 詹歆晔,郁亚娟,郭怀成,等.特大城市交通承载力定量模型的建立与应用[J].环境科学学报,2008,28(9):1923-1931
Zhan Xinye, Yu Yajuan, Guo Huaicheng, et al. Modeling and application of metropolitan transportation support capacity[J].Acta Scientiae Circumstantiae, 2008,28(9): 1923-1931.
[6] 李荣,吴建军.北京市交通承载力预测研究[J].山东科学,2013,26(2):98-111.
Li Rong, Wu Jianjun.Prediction of Beijing traffic carrying capacity[J]. Shandong Science.2013.26(2):98-111.
[7] Li Tongfei, Wu Jianjun. Carrying capacity of urban traffic network: modeling and empirical analysis[C]//2013 International Conference on Industrial Engineering and Management Science. Shanghai:DEStech,2013, 566-572.
[8] 王乾,雷黎.基于灰色预测模型的交通环境承载力研究[J].科学之友,2008,7(20) :70-72.
Wang Qian, Lei Li. Study on traffic capacity based on grey forecasting model[J].Friend of Science Amateurs,2008,7(20):70-72.
[9] 吴建军.城市交通网络拓扑结构复杂性研究[D].北京:北京交通大学,2008.
Wu Jianjun. The study of Urban traffic network topology complexity[D]. Beijing: Beijing Jiaotong University, 2008.
[10] 贾顺平,彭宏勤,刘爽. 基于居民出行特性与路网承载力的城市交通状态研究[J]. 交通运输系统工程与信息,2011,11(5) : 81-85.
Jia Shunping, Peng Hongqin, Liu Shuang. Urban traffic state estimation considering resident travel characteristics and road network capacity[J].Journal of Transportation Systems Engineering and Information Technology, 2011,11(5):81-85.
[11] 许明涛,吴建军. 基于容量限制的道路与城市交通的互演化研究[J].山东科学,2012, 25( 4) :58-63.
Xu Mingtao, Wu Jianjun. Research on limited capacity based co-evolution of road surface and urban traffic[J]. Shandong Science, 2012,25(4):58-63.
[12] Zhao F X, Sun H J, Wu J J, et al. Urban road network evolution to maximize the capacity[J]. Procedia-Social and Behavioral Sciences, 2014, 138: 251-258.
[13] 龙雪琴, 王建军, 关宏志. 基于建设成本约束的公路网结构演化研究[J]. 交通运输系统工程与信息, 2014, 14(4): 23-29.
Long Xueqin, Wang Jianjun, Guan Hongzhi. Self-organization of roads network structure based on restraint of construct cost[J]. Journal of Transportation Systems Engineering and Information Technology,2014, 14(4): 23-29.
[14] Haggett P, Chorley R J. Network Analysis in Geography[M]. London: Edward Arnold, 1969.
[15] Wardrop J G. Some theoretical aspects of road traffic research[C]//ICE Proceedings Engineering Divisions. London:Thomas Telford, 1952, 1(3): 325-378.
[16] Beckmann M J, McGuire C B, Winsten C B. Studies in the economics of transportation[M]. New Haven:Yale University Press, 1956.
[17] Frank M, Wolfe P. An algorithm for quadratic programming[J].Naval Research Logistics Quarterly,1956,3:95-110.
[18] 黄海军. 城市交通网络平衡分析: 理论与实践[M]. 北京:人民交通出版社, 1994.
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