IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v54y2006i3p385-391.html
   My bibliography  Save this article

Segregation effect in symmetric cellular automata model for two-lane mixed traffic

Author

Listed:
  • X. G. Li
  • Z. Y. Gao
  • B. Jia
  • R. Jiang

Abstract

Segregation effects commonly exist in granular mixtures with difference in size, shape or density. In mixed traffic flow, slow vehicle and fast vehicle, as two types of particles, have different desired speed. We investigate the segregation along the road in mixed traffic flow by using a symmetric two-lane cellular automata model. A parameter D, which quantifies the degree of segregation, is defined. We study the density dependency of the parameter at different randomization probability. Simulation results show that segregation is more obviously in free flow region. We argue that the overtaking maneuvers have similar effect as percolation in granular flow. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2006

Suggested Citation

  • X. G. Li & Z. Y. Gao & B. Jia & R. Jiang, 2006. "Segregation effect in symmetric cellular automata model for two-lane mixed traffic," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 54(3), pages 385-391, December.
    • Handle: RePEc:spr:eurphb:v:54:y:2006:i:3:p:385-391
    DOI: 10.1140/epjb/e2006-00451-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1140/epjb/e2006-00451-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1140/epjb/e2006-00451-y?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. Ren, Gang & Jiang, Hang & Chen, Jingxu & Huang, Zhengfeng & Lu, Lili, 2016. "Heterogeneous cellular automata model for straight-through bicycle traffic at signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 70-83.
    2. Yang, Liu & Zheng, Jianlong & Cheng, Yang & Ran, Bin, 2019. "An asymmetric cellular automata model for heterogeneous traffic flow on freeways with a climbing lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).

    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:54:y:2006:i:3:p:385-391. 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.