摘要
地铁网络作为现代城市交通的重要组成部分,其运行的可靠性和稳定性对于城市的正常运转至关重要。然而,地铁网络可能面临各种干扰和故障,如设备故障、自然灾害、人为破坏等,可能导致线路中断、列车延误和乘客服务中断。因此,研究地铁网络的鲁棒性,即系统在面对这些干扰时的恢复能力,对于提高地铁网络的可靠性和抗干扰性具有重要意义。文章基于复杂网络理论,综合考虑地铁网络的拓扑结构、节点重要性和客流分布等因素,对地铁网络的鲁棒性进行定量分析。研究采用Space-L方法对杭州市地铁网络拓扑结构特性进行分析,并分析了网络的度、介数、聚类系数和最短路径长度等网络特性指标。针对鲁棒性分析,文章采用了随机攻击和蓄意攻击的9种不同攻击策略,并对杭州市地铁网络进行实例分析。研究结果表明,关键指标的变化对地铁网络的鲁棒性产生显著影响。通过分析不同攻击策略下的网络性能指标,可以揭示系统中的脆弱节点和脆弱路径。这些分析结果对于提高杭州市地铁网络的鲁棒性,增强其对干扰和攻击的抵抗能力具有重要意义。
As an important part of modern urban transportation,the reliability and stability of the metro network is crucial for the normal functioning of the city.However,metro networks may face a variety of disturbances and failures,such as equipment failures,natural disasters,and human damages,which may lead to line interruptions,train delays,and disruptions in passenger services.Therefore,it is important to study the robustness of metro networks,i.e.the ability of the system to recover in the face of these disturbances,to improve the reliability and anti-interference of metro networks.The paper quantitatively analyzes the robustness of the subway network based on complex network theory,taking into account the topology of the subway network,the importance of the nodes,and the distribution of passenger flow.This study uses the Space-L method to construct a passenger flow-weighted North Hangzhou metro network model,and analyzes the network characteristic indexes such as the degree,median,clustering coefficient,and shortest path length of the network.For robustness analysis,the article adopts nine different attack strategies of random attack and deliberate attack,and takes a case study of Hangzhou metro network.The results of the study show that the changes of the key indicators have a significant impact on the robustness of the subway network.By analyzing the network performance metrics under different attack strategies,vulnerable nodes and vulnerable paths in the system can be revealed.These analysis results are important for improving the robustness of Hangzhou metro network and enhancing its resistance to interference and attacks.
作者
时柏营
程远
丁东玥
杨宇雷
崔博伟
SHI Baiying;CHENG Yuan;DING Dongyue;YANG Yulei;CUI Bowei(Department of Transportation Engineering,Shandong Jianzhu University,Jinan 250101,China)
出处
《物流科技》
2024年第14期59-63,共5页
Logistics Sci-Tech
基金
“交通设计”课程教学案例库建设(SDYAL2022158)。
