引用本文:王立夫,朱枫,郭戈,等.基于负载系数的轨道交通网络控制站点辨识[J].控制与决策,2020,35(10):2319-2328
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基于负载系数的轨道交通网络控制站点辨识
王立夫,朱枫,郭戈,赵国涛
(东北大学秦皇岛分校控制工程学院,河北秦皇岛066004)
摘要:
城市轨道交通客流量对轨道交通运行的效率与安全至关重要.利用客流信息,提出负载系数衡量网络负载情况,并作为轨道交通网络边的权重,建立轨道交通网络模型.运用复杂网络的可控性理论分析轨道交通网络的可控性问题,给出轨道交通网络控制节点的辨识方法,实现对城市轨道交通网络限流车站的控制.以北京地铁网络为实例建立携带负载系数的网络模型,对其控制节点的选取进行分析,结果表明现行常态化控制站点不能使网络完全可控,且选择的控制站点数量较多,成本较高,应用负载系数作为权重选择的限流站点不仅能够使网络完全能控选择的控制站点数量更少,成本较低,而且更多地分布于超载线路上,同时所提出方法可以有效找出控制站点,为实际限流车站的选取提供有效的参考.
关键词:  复杂网络  轨道交通网络  驱动节点  限流站  负载系数
DOI:10.13195/j.kzyjc.2019.1118
分类号:TP29
基金项目:国家自然科学基金项目(61402088);河北省自然科学基金项目(F2016501023,F2017501041);中央高校基本科研业务费专项基金项目项目(N2023022).
Control station identification of rail transport network based on loading coefficient
WANG Li-fu,ZHU Feng,GUO Ge,ZHAO Guo-tao
(School of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China)
Abstract:
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.
Key words:  complex network  rail transport network  driver nodes  finite-flow station  load coefficient

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