交通信息与安全2017，Vol.35Issue(1)：71-79,91,10.DOI:10.3963/j.issn.1674-4861.2017.01.009
城市轨道交通车站内客流集散瓶颈识别及排序方法
Identification and Ranking Approaches of Bottleneck for Gathering and Distributing Capacity in Stations of Urban Rail Transit
摘要
Abstract
During the process that passengers gathering and distributing in stations of urban rail transit,bottlenecks of infrastructures can lead to congestion,which seriously affects efficiency and safety.In order to identify and classify the bottlenecks,a network for evacuation is developed based on partitioning space into cellular.Three methods are proposed to identify static bottlenecks under emergency evacuation,supported by complex network theory,network maximum flow theory,and blocking flow theory,respectively.With the software Anylogic,static bottlenecks are ranked by estimated e-vacuation time.For the identification and ranking of dynamic bottlenecks,an algorithm based on temporal and spatial con-gestion intensity is proposed.Finally,a case study of Xizhimen subway station in Beijing is carried out,which is used to test the proposed conceptual and simulated evacuation models.study results show that the bottleneck identified by bloc-king flow theory is most consistent with the observed operation among the three kind of static bottlenecks.The dynamic bottlenecks with the highest ranking importance are the inlets of stairs at the platform level.The bottlenecks generated during gathering and distributing processes mostly occurred at streamlined areas,and tend to propagate further.The reli-ability and applicability of the proposed method are also verified through the above case study.关键词
城市交通/客流集散/瓶颈识别/元胞自动机/复杂网络/网络最大流Key words
urban traffic/gathering and distributing of passengers/identification of bottlenecks/cellular automa-ta/complex network/maximum flow in networks分类
交通工程引用本文复制引用
汪瑞琪,张缨..城市轨道交通车站内客流集散瓶颈识别及排序方法[J].交通信息与安全,2017,35(1):71-79,91,10.基金项目
德国教育与科学研究部BMBF基金项目(01LG050A1)资助 （01LG050A1）
