期刊
PROMET-TRAFFIC & TRANSPORTATION
卷 29, 期 3, 页码 267-273出版社
SVEUCILISTE U ZAGREBU, FAKULTET PROMETNIH ZNANOSTI
DOI: 10.7307/ptt.v29i3.2133
关键词
complex network theory; key station identification; urban rail transit
资金
- State Key Lab of Rail Traffic Control and Safety, China [RCS2014ZTY5, RCS2015ZZ002]
- Beijing Natural Science Foundation [9164033]
- Beijing Municipal Science and Technology Project [Z141106004414106]
- National Natural Science Foundation of China [71601018]
Congestion occurs and propagates in the stations of urban rail transit, which results in the impendent need to comprehensively evaluate the station performance. Based on complex network theory, a key station identification method is considered. This approach considers both the topology and dynamic operation states of urban rail transit network, such as degree, passenger demand, system capacity and capacity utilization. A case of Beijing urban rail transit is applied to verify the validation of the proposed method. It shows that the method can be helpful to daily passenger flow control and capacity enhancement during peak hours.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据