IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v34y2003i3p367-372.html
   My bibliography  Save this article

Realistic bus route model considering the capacity of the bus

Author

Listed:
  • Rui Jiang
  • Mao-Bin Hu
  • Bin Jia
  • Qing-Song Wu

Abstract

This paper investigates the bus route behavior using a more realistic cellular automaton model in which the bus capacity is considered. It is shown that with the introduction of bus capacity, four new states appear compared with the previous works. The results enable us to conclude that the efficiency of the bus route system cannot be enhanced simply through increasing the number of buses. Moreover, it is pointed out that a proper value of the bus capacity can lead to the optimal configuration of the bus system. Copyright Springer-Verlag Berlin/Heidelberg 2003

Suggested Citation

  • Rui Jiang & Mao-Bin Hu & Bin Jia & Qing-Song Wu, 2003. "Realistic bus route model considering the capacity of the bus," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 34(3), pages 367-372, August.
  • Handle: RePEc:spr:eurphb:v:34:y:2003:i:3:p:367-372
    DOI: 10.1140/epjb/e2003-00233-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1140/epjb/e2003-00233-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1140/epjb/e2003-00233-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Curtin, Kevin M. & Biba, Steve, 2011. "The Transit Route Arc-Node Service Maximization problem," European Journal of Operational Research, Elsevier, vol. 208(1), pages 46-56, January.
    2. Andres, Matthias & Nair, Rahul, 2017. "A predictive-control framework to address bus bunching," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 123-148.
    3. Qiang, Shengjie & Huang, Qingxia, 2021. "Interactions between buses and cars in a two-lane mixed traffic system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    4. Fatemeh Enayatollahi & Ahmed Osman Idris & M. A. Amiri Atashgah, 2019. "Modelling bus bunching under variable transit demand using cellular automata," Public Transport, Springer, vol. 11(2), pages 269-298, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eurphb:v:34:y:2003:i:3:p:367-372. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.