摘要
铁路货运在我国交通运输中扮演重要角色,但突发事故会造成列车晚点或者停运。由于事故的不确定性,铁路货运复杂网络的静态鲁棒性难以分析。针对以上问题,提出一种铁路货运复杂网络静态鲁棒性分析方法,旨在提高我国铁路货运复杂网络的静态鲁棒性,以便更好为我国铁路货运部门提供理论支撑,进一步预防列车晚点或停运,同时也为铁路部门提供应重点保护的车站类型。首先,基于货物班列时刻表与车站间日均交互车流量数据,构建中国铁路货运无向无权复杂网络和无向加权复杂网络;其次,根据构建的中国铁路货运复杂网络拓扑结构,计算各车站的度分布、强度分布以及介数分布;最后,运用网络最大连通分量和全局效率两个指标,对中国铁路货运复杂网络的静态鲁棒性进行分析。结果表明:网络最大连通分量在评价系统的静态鲁棒性中,较全局效率数据变化趋势更直观、拐点更明显,具有可视性强的优势;随机失效和蓄意破坏相比,节点的随机失效对网络的静态鲁棒性影响更小;无向无权网络中,与度蓄意破坏相比,节点在介数破坏下的铁路货运复杂网络更加脆弱;无向无权网络度破坏与无向加权网络强度破坏相比,无向加权网络强度蓄意破坏下网络静态鲁棒性更强。
Railway freight plays a vital role in China's transportation system,but unexpected incidents can lead to train delays or service suspensions.Due to the uncertainty of such incidents,analyzing the static robustness of railway freight complex networks is challenging.To address this challenge,a method for analyzing the static robustness of railway freight complex networks is proposed,aiming to enhance the static robustness of China's railway freight network.The approach provides theoretical support to railway freight sector,helping to prevent train delays and suspensions,while identifying station types that require prioritized protection.Firstly,an undirected unweighted complex network and an undirected weighted complex network of China's railway freight system were constructed based on freight train schedules and the average daily traffic flow between stations.Secondly,based on the topological structure of the constructed networks,the degree distribution,strength distribution,and betweenness distribution of each station were calculated.Finally,the static robustness of China's railway freight complex networks was analyzed using two metrics:the largest connected component and global efficiency.The results showed that the largest connected component offered more intuitive and visually distinct trends and inflection points than global efficiency when evaluating network static robustness.Compared with intentional attacks,random node failures had a lesser impact on the networks static robustness.In the undirected unweighted network,the network was more vulnerable to betweenness-based attacks than degree-based attacks.Additionally,compared to degree-based attacks in the undirected unweighted network,the network showed greater static robustness under strength-based intentional attacks in the undirected weighted network.
作者
王奕丹
马亮
郭进
汤夏平
WANG Yidan;MA Liang;GUO Jin;TANG Xiaping(School of Information Science and Technology,Southwest Jiaotong University,Chengdu 611756,China;The Center of National Railway Intelligent Transportation System Engineering and Technology,Beijing 100081,China;Sichuan Engineering Research Center of Train Operation Control Technology,Southwest Jiaotong University,Chengdu 611756,China)
出处
《铁道标准设计》
北大核心
2025年第7期31-38,45,共9页
Railway Standard Design
基金
四川省自然科学基金面上项目(2022NSFSC0466)
中国国家铁路集团有限公司科技研究开发计划项目(L2021X001)。
关键词
铁路货运网
复杂网络
静态鲁棒性
网络最大连通分量
拓扑结构
railway freight network
complex network
static robustness
largest connected component
topological structure
