| 突发事件条件下旅客列车流网络脆弱性分析 |
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| 引用本文： | 孟学雷,贾利民,秦勇,徐杰.突发事件条件下旅客列车流网络脆弱性分析[J].北京理工大学学报,2012(S1):80-83. |
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| 作者姓名： | 孟学雷 贾利民 秦勇 徐杰 |
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| 作者单位： | 兰州交通大学 交通运输学院, 甘肃, 兰州 730070;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;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;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;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 |
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| 基金项目： | 国家自然科学基金资助项目(61263027);轨道交通控制与安全国家重点实验室(北京交通大学)开放课题基金资助项目(RCS2011K004);甘肃省基本科研业务费资助项目(620030) |
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| 摘 要： | 为了对全路旅客列车开行方案的高效性及可靠性进行研究,基于全国铁路旅客列车开行方案构建旅客列车流网络,建立了列车流复杂网络节点与边的容量-负荷混合动态模型以分析其脆弱性. 运用计算机仿真的方法,分别模拟蓄意攻击与随机故障条件下旅客列车流网网络效率,结果表明我国铁路旅客列车流网络在蓄意攻击条件下脆弱性明显,而对于随机故障具有较强的抵抗性.
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| 关 键 词： | 旅客列车流 车辆网络 脆弱性 |
| 收稿时间： | 2012/9/28 0:00:00 |
Vulnerability Analysis of Passenger Train Flow Network in Emergency |
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| MENG Xue-lei,JIA Li-min,QIN Yong and XU Jie.Vulnerability Analysis of Passenger Train Flow Network in Emergency[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012(S1):80-83. |
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| Authors: | MENG Xue-lei JIA Li-min QIN Yong and XU Jie |
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| Institution: | School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China |
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| Abstract: | To study the efficiency and the reliability of the passenger trains service plan, the passenger train flow network was constructed based on the current national passenger trains service plan. The nodes and edges hybrid dynamic capacity-load model was built to analyze the vulnerability of the passenger train flow network. Further, the efficiency of the train flow network was evaluated using computer simulation under the condition of intentional attack and random breakdown, respectively. The results show that the national passenger train flow network has an obvious vulnerability under intentional attack condition, while it has a strong resistance to the random breakdown. Besides, this study can support the development of the efficient reliable passenger trains service plans. |
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| Keywords: | passenger train flow flow network vulnerability |
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