Control station identification of rail transport network based on loading coefficient

被引：0
|
作者：
Wang L.-F. [1 ]
Zhu F. [1 ]
Guo G. [1 ]
Zhao G.-T. [1 ]
机构：
[1] School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao
来源：
Kongzhi yu Juece/Control and Decision | 2020年 / 35卷 / 10期
关键词：
Complex network; Driver nodes; Finite-flow station; Load coefficient; Rail transport network;
D O I：
10.13195/j.kzyjc.2019.1118
中图分类号：
学科分类号：
摘要：
Urban rail transit traffic is critical to the efficiency and safety of rail transit operations. This paper uses the passenger flow to propose the load coefficient to measure the network load, and as the weight of the rail transit network, establishes the rail transit network model. The controllability theory of complex network is used to analyze the controllability of the rail transit network, and the identification method of rail transit network control nodes is given to realize the control of urban rail transit network current limit station. Taking the Beijing metro network as an example, the network model carrying the load factor is established, and the selection of its control nodes is analyzed. The results show that the current normalization control site can not make the network fully controllable, and the number of selected control sites is large and the cost is high. Applying the load factor as the weight selection site can not only make the network fully controllable, but also select fewer control sites with lower cost and more distributed on the overloaded line. The proposed method can effectively find the control station and provide an effective reference for the selection of the actual current limit station. © 2020, Editorial Office of Control and Decision. All right reserved.
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页码：2319 / 2328
页数：9
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