中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (6): 178-185.doi: 10.16265/j.cnki.issn1003-3033.2022.06.1492

• 公共安全 • 上一篇    下一篇

铁路快速货运复杂网络拓扑特征与鲁棒性分析

马亮1,2,3(), 胡宸瀚4, 陈光伟5   

  1. 1 西南交通大学 信息科学与技术学院,四川 成都 611756
    2 国家铁路智能运输系统工程技术研究中心, 北京 100081
    3 四川省列车运行控制技术工程研究中心,四川 成都 611756
    4 中国铁道科学研究院集团有限公司 电子计算技术研究所,北京 100081
    5 中国铁路信息科技集团有限公司,北京 100844
  • 收稿日期:2021-12-12 修回日期:2022-03-15 出版日期:2022-06-28 发布日期:2022-12-28
  • 作者简介:

    马 亮 (1987—),男,江苏阜宁人,博士,讲师,主要从事交通运输信息化与优化、交通运输系统建模与分析等方面的研究。E-mail:

    胡宸瀚,高级工程师

    陈光伟,研究员

  • 基金资助:
    中国国家铁路集团有限公司科技研究开发计划(L2021X001); 四川省科技计划项目(2021YJ0070); 中央高校基本科研业务费专项资金资助(2682018CX29); 中央高校基本科研业务费项目(2682020ZT43)

Analysis on topological characteristics and robustness of complex network of railway express freight transportation

MA Liang1,2,3(), HU Chenhan4, CHEN Guangwei5   

  1. 1 School of Information Science and Technology, Southwest Jiaotong University, Chengdu Sichuan 611756, China
    2 The Center of National Railway Intelligent Transportation System Engineering and Technology, Beijing 100081, China
    3 Sichuan Engineering Research Center of Train Operation Control Technology, Chengdu Sichuan 611756, China
    4 Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    5 China Railway Information Technology Group Corporation Limited, Beijing 100844, China
  • Received:2021-12-12 Revised:2022-03-15 Online:2022-06-28 Published:2022-12-28

摘要:

为了建模并分析铁路快速货物运输网络(REFTN)性能,提出L空间下铁路快速货运无向无权复杂网络(UUCN)建模方法、节点重要度综合评价指标和基于综合重要度节点失效的网络鲁棒性分析方法;依据中国铁路快速货运列车时刻表和车站间日均交互车流等数据,建立UUCN-REFTN模型,并分析其拓扑特性和静态鲁棒性。结果表明:现阶段我国REFTN具有典型的小世界、无标度和同类匹配特性;节点的随机失效对网络的鲁棒性影响较小,节点遭受最大综合重要度破坏比遭受最大度数破坏和遭受最大介数破坏使得网络变得更脆弱,当遭受最大综合重要度破坏的车站占比达到38%时,网络完全崩溃。

关键词: 铁路快速货运网络(REFTN), 复杂网络(UUCN), 鲁棒性, 小世界, 无标度

Abstract:

In order to model and analyze performance of REFTN, method of modeling undirected and unweighted complex network of REFTN (UUCN-REFTN) in L-space, comprehensive importance evaluation index of nodes and network robustness analysis method considering node failure based on comprehensive importance indexes were proposed. Based on timetable and wagon-flow data, UUCN-REFTN was established and its topological characteristics and static robustness were analyzed. The results show that REFTN has typical small-world, scale-free and congeneric matching characteristics at present in China. Random failure of nodes has less impact on network robustness generally, and largest-comprehensive-importance attack makes it more vulnerable than largest-degree attack and largest-betweenness attack. When proportion of stations under largest-degree attack reaches 38%, the network will completely collapse.

Key words: railway express freight transportation network(REFTN), complex network(UUCN), robustness, small-world, scale-free