城市群交通网络抗毁性仿真研究

doi:10.16182/j.issn1004731x.joss.201802016

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (2): 489-496.doi: 10.16182/j.issn1004731x.joss.201802016

城市群交通网络抗毁性仿真研究

李成兵¹, 魏磊², 卢天伟³, 高巍¹

1.内蒙古大学交通学院,内蒙古呼和浩特 010070;
2.北京航空航天大学交通科学与工程学院,北京 100191;
3.北京交通大学交通运输学院,北京 100044

收稿日期:2016-10-21 出版日期:2018-02-08 发布日期:2019-01-02
作者简介:李成兵(1982-),男,安徽安庆,博士,副教授,研究方向为综合运输系统优化;魏磊(1994-),男,内蒙古巴彦淖尔,硕士生,研究方向为交通仿真。
基金资助:
内蒙古自然科学基金(2014BS0501)

Invulnerability Simulation Analysis of Compound Traffic Network in Urban Agglomeration

Li Chengbing¹, Wei Lei², Lu Tianwei³, Gao Wei¹

1.School of Transportation, Inner Mongolia University, Hohhot Inner Mongolia 010070, China;
2.School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;
3.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received:2016-10-21 Online:2018-02-08 Published:2019-01-02

摘要/Abstract

摘要： 为保障城市群交通运输系统安全运营,以复合的视角探索城市群交通网络抗毁性。采用站点映射法构建城市群加权复合交通网络模型。针对城市群加权复合交通网络结构,对传统抗毁性测度指标进行修正并确定攻击模式。以呼包鄂城市群为例进行实证研究,构建道路-轨道加权复合交通网络模型,对网络抗毁性进行仿真,识别路网中的关键站点。结果表明：城市群复合交通网络的构建有效提高了单一运输方式网络的抗毁性,通过对识别出的关键站点加强防护提高城市群复合交通网络的抗毁性。

关键词: 城市群, 加权复合交通网络, 抗毁性, 关键站点

Abstract: To ensure the security operations of urban agglomeration transportation system, the perspective on compound network is used to explore the invulnerability of urban agglomeration traffic network. The site mapping method is used to build the model of weighted compound traffic network in city agglomeration. The traditional invulnerability metrics is revised and the attack strategies are determined according to the structure of the network. Hu-Bao-E city agglomeration is taken as an example to build the weighted compound traffic network model which is composed of road network and rail transit network, simulating the invulnerability and identifying key nodes in the city agglomeration. Results show that the construction of compound traffic network effectively improves the invulnerability of single mode traffic network and the strengthening protection of the key nodes can improve the invulnerability of compound traffic network in city agglomeration.

Key words: city agglomeration, weighted compound traffic network, invulnerability, key nodes

中图分类号:

U491

李成兵, 魏磊, 卢天伟, 高巍. 城市群交通网络抗毁性仿真研究[J]. 系统仿真学报, 2018, 30(2): 489-496.

Li Chengbing, Wei Lei, Lu Tianwei, Gao Wei. Invulnerability Simulation Analysis of Compound Traffic Network in Urban Agglomeration[J]. Journal of System Simulation, 2018, 30(2): 489-496.

参考文献 13

[1]	Callaway D S, Newman M E J, Strogatz S H, et al. Network robustness and fragility: percolationon random graphs[J]. Physcial. Review. Letters (S0031-9007), 2000, 85(25): 5468-5471.
[2]	Cohen R, Erez K, ben-Avraham D, et al. Resilience of the Internet to random breakdowms[J]. Physical. Review. Letters (S0031-9007), 2000, 85(21): 4626-4628.
[3]	Albert R, Jeong H, Barabasi A L.Attack and error tolerance in complex networks[J]. Nature (S0028-0836), 2000, 406(6794): 387-482.
[4]	Sun Shiwen, Liu Zhouxin, Chen Zengqiang, et al.Error and attack tolerance of evolving networks with local preferential attachment[J]. Physica A (S0378-4371), 2007, 373(1): 851-860.
[5]	Tanizawa T., Paul G., Cohen R Havlin S., Stanley H.E. Optimization of network robustness to waves of targeted and random attacks[J]. Physical Review E (S1550-2376), 2005, 71(4): 047101.
[6]	种鹏云, 帅斌, 尹惠. 基于复杂网络的危险品运输网络抗毁性仿真[J]. 复杂系统与复杂科学, 2014, 11(4): 10-18. Chong Pengyun, Shuai Bin, Yin Hui. Invulnerability simulation analysis of hazardous materials transportation network based on complex network[J]. Complex Systems and Complexity Science, 2014, 11(4): 10-18.
[7]	胡萍, 范文礼. 不同攻击模式下城市公交网络抗毁性分析[J]. 计算机应用研究, 2014, 31(11): 3385-3391. Hu Ping, Fan Wenli. Invulnerability of urban transit network under different attack modes[J]. Application Research of Computers, 2014, 31(11): 3385-3391.
[8]	吕禄明. 基于复杂网络的城市轨道交通网络结构特性与抗毁性研究[D]. 北京: 北京交通大学, 2015: 59-64. LYU Luming. Research on the structural characteristics and invulnerability of urban rail transit network based on complex network theory[D]. Beijing, Beijing Jiaotong University, 2015: 59-64.
[9]	刁朋娣. 城市轨道交通网络抗毁性分析与仿真研究[D]. 北京: 北京交通大学, 2014: 55-59. Diao Pengdi. Analysis and simulation research on invulnerability of urban rail transit network[D]. Beijing, Beijing Jiaotong University, 2014: 55-59.
[10]	赵漫. 基于复杂网络理论的城市交通网络研究[D]. 重庆: 重庆师范大学, 2012: 20-22. Zhao Man. Research of characteristics of urban transport network based on complex network theory[D]. Chongqing: Chongqing Normal University, 2012: 20-22.
[11]	卫振林, 甘杨杰, 赵鹏. 城市复合交通网络的若干特性研究[J]. 交通运输系统工程与信息, 2015, 15 (1): 106-111. Wei Zhenlin, Gan Yangjie, Zhao Peng. Characteristic research of urban complex traffic network[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(1): 106-111.
[12]	王国明. 城市群道路网络特性及演化研究[D]. 湖南: 中南大学, 2012: 80-85. Wang Guoming. A study on property and evolution of road network of urban agglomeration[D]. Hunan: Central South University, 2012: 80-85.
[13]	曾明华, 李夏苗, 刘大鹏. 城市群交通网络特性[J]. 系统工程, 2009, 27(3): 10-15. Zeng Minghua, Li Xiamiao, Liu Dapeng. The properties of traffic networks in urban clusters[J]. Systems Engineering, 2009, 27(3): 10-15.

城市群交通网络抗毁性仿真研究

Invulnerability Simulation Analysis of Compound Traffic Network in Urban Agglomeration

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 13

相关文章 3

编辑推荐

Metrics

本文评价

[1]	符修文, 杨勇生. 一种工业无线传感器网络抗毁性仿真平台[J]. 系统仿真学报, 2019, 31(7): 1342-1350.
[2]	李成兵, 郝羽成, 王文颖. 城市群复合交通网络可靠性研究[J]. 系统仿真学报, 2017, 29(3): 565-571.
[3]	李成兵, 魏磊, 郝羽成. 城市群复合交通网络特性研究[J]. 系统仿真学报, 2016, 28(12): 2958-2965.