中间性中心性
准时
计算机科学
中心性
火车
透视图(图形)
复杂网络
动态网络分析
弹道
计算机网络
数据挖掘
人工智能
数学
地理
工程类
运输工程
地图学
组合数学
物理
万维网
天文
作者
Mingkun Yang,Xingtang Wu,Hong-Wei Wang,Jinhu Lu,Hairong Dong
出处
期刊:International Conference on Intelligent Transportation Systems
日期:2021-09-19
被引量:1
标识
DOI:10.1109/itsc48978.2021.9565028
摘要
High-Speed Railway(HSR), due to its advantages of high-velocity, large capacity, punctuality, et al., developed rapidly in recent years, forming a networked operation scale. The connectivity status for different Origin-Destination(OD) pairs varied with time according to train timetables. To reveal the dynamic characteristics of the HSR network resulted from the changing connection status of OD pairs, this paper proposed an HSR Spatio-temporal Network(SN) model to analyze the dynamic characteristics of the HSR network. Then the spatiotemporal characteristic path length and the spatio-temporal betweenness centrality are studied by transforming the SN network into a Spatio-temporal Nodes based Network(SNN). Moreover, an indicator named spatio-temporal connectivity is proposed to derive the connectivity status variation of the HSR. Cases study reveal the quantitative relationship between the train timetable and the transportation performance and the evolution law of the network characteristics. The results could be used further to optimize the organization of trains from a network perspective.
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