A Three-Layer Model for Studying Metro Network Dynamics

被引:0
|
作者
Wu, Xingtang [1 ]
Dong, Hairong [1 ]
Tse, Chi K. [2 ]
机构
[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
[2] Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, Hong Kong
基金
中国国家自然科学基金;
关键词
Efficiency - Metropolitan area networks - Subways;
D O I
暂无
中图分类号
学科分类号
摘要
This paper studies the dynamic performance of subway transportation systems. A three-layer model, consisting of a rail layer, a train layer, and a passenger layer, is proposed to describe the structure and operation of a metro system. Two parameters, namely, time efficiency and maximum load ratio, are proposed to assess the transport efficiency and the train utilization rate, respectively. Case studies of the metro networks in Beijing, Tokyo, and Hong Kong show that the time efficiency decreases nonlinearly with the increase of vehicle resource and passenger demand, whereas maximum load ratio varies in an opposite manner. For the three metro networks under study, the Tokyo metro system has the highest time efficiency when passengers adopt a shortest-path (SP) routing strategy, while the Hong Kong system's highest time efficiency exceeds the others' when passengers adopt a minimum-Transfer-path (MTP) strategy. In general, the maximum time efficiency is higher when passengers adopt SP routing rather than MTP routing. Moreover, the Beijing metro system has the highest maximum load ratio, regardless of the passengers' routing behavior. This paper can be applied to a metro network to optimize the train departure interval under a certain passenger entrance rate, with the aim to maximize the time efficiency and maximum load ratio. Our model permits assessment of the operational effectiveness of metro systems, which helps the metro operators to improve the performance and reduce the cost. © 2013 IEEE.
引用
收藏
页码:2665 / 2675
相关论文
共 50 条
  • [21] A three-layer model of natural image statistics
    Gutmann, Michael U.
    Hyvarinen, Aapo
    JOURNAL OF PHYSIOLOGY-PARIS, 2013, 107 (05) : 369 - 398
  • [22] THREE-LAYER MODEL FOR LEARNER DATA ANONYMIZATION
    Aleksieva-Petrova, Adelina
    Chenchev, Ivaylo
    Petrov, Milen
    14TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED2020), 2020, : 6244 - 6252
  • [24] A Three-Layer Model of Source Code Comprehension
    Belmonte, Javier
    Dugerdil, Philippe
    Agrawal, Ashish
    PROCEEDINGS OF THE 7TH INDIA SOFTWARE ENGINEERING CONFERENCE 2014, ISEC '14, 2014,
  • [25] A three-layer model for software engineering metrics
    Akingbehin, Kiumi
    Maxim, Bruce
    SNPD 2006: SEVENTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, PROCEEDINGS, 2006, : 17 - +
  • [26] A reformulated three-layer sea ice model
    Winton, M
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2000, 17 (04) : 525 - 531
  • [27] Performance of piles as evaluated by three-layer model
    Ishihara, K
    Cubrinovski, M
    GEOTECHNICAL ENGINEERING FOR TRANSPORTATION PROJECTS, VOL 1, 2004, (126): : 167 - 191
  • [28] Friction phenomena in the overdamped three-layer model
    Jia, Li-Ping
    Tekic, Jasmina
    Yang, Yang
    Wang, Cang-Long
    Duan, Wen-Shan
    Yang, Lei
    PHYSICAL REVIEW E, 2015, 91 (02):
  • [29] Integrated resources optimization in three-layer dynamic network
    Wei Z.
    San-yang L.
    Xiao-gang Q.I.
    Journal of Convergence Information Technology, 2010, 5 (06) : 3
  • [30] A fast, three-layer neural network for path finding
    Kindermann, T
    Cruse, H
    Dautenhahn, K
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1996, 7 (02) : 423 - 436