铁道科学与工程学报2018，Vol.15Issue(7)：1657-1663,7.DOI:10.19713/j.cnki.43-1423/u.2018.07.004
基于网络特性的高速铁路关键车站识别方法
A key station identification method for high speed railway based on network characteristics
摘要
Abstract
The safety and reliability of high-speed railway have been highly valued with the rapid development. Identification of key stations is an important part of improving railway network reliability. The model of high speed railway traffic flow network was established combining the topological structure importance of stations with train intensity based on complex network and social network theory. The traffic intensity, traffic closeness centrality and traffic betweenness centrality of nodes were calculated and the comprehensive evaluation index was determined with TOPSIS method. Then a key station identification method was proposed. The high-speed railway network in China was used as an example to prove that the reliability of the method. The example identifies not only the provincial capital stations, but also the stations with small scale but critical position affecting the whole network transportation service capacity. The results can provide a reference for daily maintenance and fault recovery of high speed railway.关键词
高速铁路/复杂网络/关键车站识别/车流网Key words
high-speed railway/complex network/key station identification/train flow network分类
交通工程引用本文复制引用
郭丹,王莉,秦勇..基于网络特性的高速铁路关键车站识别方法[J].铁道科学与工程学报,2018,15(7):1657-1663,7.基金项目
"十三五"国家重点研发计划资助项目(2016YFB1200401) （2016YFB1200401）
国家自然科学基金资助项目(61374157) （61374157）
