应用复杂网络的铁路系统分析——以墨西哥铁路系统为例

S. Hernández González, I. Flores De La Mota
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引用次数: 0

摘要

在2014年国际交通论坛上,墨西哥的港口、过境点和主要工业中心相互连接。在此前提下,运用复杂网络法对墨西哥铁路网进行了分析;通过相应的绩效指标,确定了站点的相关性;然后分析了对目标攻击和随机故障的鲁棒性。程度遵循指数概率分布;确定了一组控制19%最短路线的节点;两个城市包含在集合中;五个点最接近其余节点;同样的两个城市也包括在这个集合中。通过接近中心性,我们观察到,在墨西哥网络中,站点之间的距离变化较小。网络是针对介数值最高的节点的敏感攻击;与随机故障相比,部件的数量增加得更快。负责运输系统管理和规划的人员对这项工作感兴趣。
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Analysis of railway systems applying complex networks: the case of Mexican Railway system
At the 2014 International Transport Forum, it was established that ports, border crossings and key industrial centers in Mexico are well connected. Under this premise, the Mexican rail network was analyzed applying the complex networks approach; through the corresponding performance measures, the relevance of the stations was determined; then the robustness against targeted attacks and against random failures was analyzed. The degree follows an exponential probability distribution; it was identified a set of nodes that controls 19% of the shortest routes; two cities are included in the set; five points are closest to the rest of nodes; the same two cities are also included in the set. Through the closeness centrality we observed that in the Mexican network the distance between the stations shows low variability. The network is sensitive attacks directed to the nodes with the highest betweenness value; the number of components increases faster compared to random failures. This work is of interest to those responsible for the management and planning of transport systems.
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