IDEAS home Printed from https://ideas.repec.org/a/sot/journl/y2010i45p50-63.html
   My bibliography  Save this article

Cellular Automata cell structure for modeling heterogeneous traffic

Author

Listed:
  • Pal, Dibyendu
  • Mallikarjuna, C.

Abstract

Gap maintaining behavior significantly affects the traffic flow modeling under heterogeneous traffic conditions. The clearance between two adjacent moving vehicles varies depending on several traffic conditions. From the data collected on the gap maintaining behavior it has been observed that vehicles maintain different gaps when travelling under different traffic conditions and this is also influenced by lateral position of the vehicle. Mallikarjuna (2007) has found that this variable gap maintaining behavior can be explained using a macroscopic traffic characteristic called area occupancy. In this study, these relationships would be used in deciding the cell width which is the basic input for cellular automata (CA) based heterogeneous traffic flow models. It is proposed that the dominant vehicle in the traffic stream, its lateral position, and lateral gaps on either side are the governing factors in deciding the cell width. Cell width has been finalized based on this input and it is found to be varying when area occupancy is varying from 3 to 15%.

Suggested Citation

  • Pal, Dibyendu & Mallikarjuna, C., 2010. "Cellular Automata cell structure for modeling heterogeneous traffic," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 45, pages 50-63.
    • Handle: RePEc:sot:journl:y:2010:i:45:p:50-63
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10077/6158
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lan, Lawrence W. & Chiou, Yu-Chiun & Lin, Zih-Shin & Hsu, Chih-Cheng, 2009. "A refined cellular automaton model to rectify impractical vehicular movement behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(18), pages 3917-3930.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Xiaojian & Wang, Wei & Yang, Haifei, 2012. "Mixed traffic flow model considering illegal lane-changing behavior: Simulations in the framework of Kerner’s three-phase theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5102-5111.
    2. Kokubo, Satoshi & Tanimoto, Jun & Hagishima, Aya, 2011. "A new Cellular Automata Model including a decelerating damping effect to reproduce Kerner’s three-phase theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 561-568.
    3. Hou, Guangyang & Chen, Suren & Bao, Yulong, 2022. "Development of travel time functions for disrupted urban arterials with microscopic traffic simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    4. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui & Liu, Feng, 2022. "A data-driven two-lane traffic flow model based on cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    5. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui, 2020. "Two-lane traffic flow model based on regular hexagonal cells with realistic lane changing behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(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:sot:journl:y:2010:i:45:p:50-63. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Romeo Danielis (email available below). General contact details of provider: https://edirc.repec.org/data/xxxxxxx.html .

    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.