IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-77074-9_35.html
   My bibliography  Save this book chapter

Traffic Behaviors of Mixed Bicycle System in the Multi-Value Cellular Automata Model

In: Traffic and Granular Flow ’07

Author

Listed:
  • Bin Jia

    (Beijing Jiaotong University, School of Traffic and Transportation)

  • Xin-Gang Li

    (Beijing Jiaotong University, School of Traffic and Transportation
    Beijing Jiaotong University, State Key Laboratory of Railway Traffic Control and Safety)

  • Rui Jiang

    (University of Science and Technology of China, School of Engineering Science)

  • Zi-You Gao

    (Beijing Jiaotong University, School of Traffic and Transportation
    Beijing Jiaotong University, State Key Laboratory of Railway Traffic Control and Safety)

Abstract

Summary In this paper, the traffic behaviors of mixed bicycle flow are investigated by using the multi-value cellular automata (CA) model. Two types of bicycles with different maximum speed are considered in the system. The system of mixed bicycles is investigated under both periodic and open boundary conditions. As to periodic boundary condition, it is shown that under the deterministic case there appear multiple states both in congested flow and free flow regions. Analytical analysis is carried out and is in good agreement with the simulation results. In the stochastic case, the multiple states effect disappears only when both slow and fast bicycles are randomized. As to open boundary condition, the flux in saturated state will not change with different proportion of slow bicycle if only the slow bicycle has randomization effect, but in other cases, they decrease as the proportion of slow bicycle increasing. Spacetime plots are presented to show the evolution of mixed bicycle flow.

Suggested Citation

  • Bin Jia & Xin-Gang Li & Rui Jiang & Zi-You Gao, 2009. "Traffic Behaviors of Mixed Bicycle System in the Multi-Value Cellular Automata Model," Springer Books, in: Cécile Appert-Rolland & François Chevoir & Philippe Gondret & Sylvain Lassarre & Jean-Patrick Lebacq (ed.), Traffic and Granular Flow ’07, pages 339-350, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-77074-9_35
    DOI: 10.1007/978-3-540-77074-9_35
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:sprchp:978-3-540-77074-9_35. 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.