基于超图理论的城市轨道交通超网络级联失效仿真  

Simulation of Cascade Failure in Urban Rail Transit Hypernetworks Based on Hypergraph Theory

作　　者：韩紫金 钱名军[1] 王玺宪 张凯悦 Han Zijin;Qian Mingjun;Wang Xixian;Zhang Kaiyue(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China;CRSC Research&Design Institute Group Co.,Ltd.,Beijing 110032,China)

机构地区：[1]兰州交通大学交通运输学院,甘肃兰州730070 [2]北京全路通信信号研究设计院集团有限公司,北京110032

出　　处：《系统仿真学报》2024年第12期2960-2970,共11页Journal of System Simulation

基　　金：甘肃省教育厅高等学校创新基金(2020A-038);兰州交通大学青年基金(2014029)。

摘　　要：为提升城市轨道交通线网的抗毁性能,确保其在面临突发事件时的稳定运行和乘客安全,引入超图理论,构建基于超图的城市轨道交通超网络模型,并建立基于客流加权的非线性负载-容量级联失效模型。针对实际交通网络站点客流疏散过程,从网络层面和客流重要度考虑,提出了负载重分配机制。对实际交通网络站点停运时仍可接受负载现象,设计了节点状态判定模型。结果表明:超图分配机制更符合实际交通流传播,介数攻击对网络级联失效影响更大,适当增加节点容量参数可提高网络的鲁棒性,过载能力系数的变化不会对级联失效现象产生影响。In order to enhance the resilience of urban rail transit networks to ensure stable operations and passenger safety in the face of emergencies,hypergraph theory is introduced to construct a hypergraph based urban rail transit hypernetwork model,and a nonlinear load-capacity cascading failure model based on passenger flow weighting is established.In response to the passenger evacuation process at actual transportation network stations,a load redistribution mechanism is proposed,taking into consideration both the network level and the importance of passenger flow.To address scenarios where stations in actual traffic networks can still accommodate loads during shutdowns,a node status determination model is designed.The results indicate that the hypergraph allocation mechanism is more consistent with the actual propagation of traffic flow.In terms of network cascading failure,the centrality attack has a greater impact.Moreover,appropriately increasing the node capacity parameter significantly enhances the robustness of the network.The variation in overload capacity coefficient does not influence the occurrence of cascading failures.

关 键 词：超网络 级联失效 轨道交通 鲁棒性 复杂网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]