IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v31y2020i12ns012918312050179x.html
   My bibliography  Save this article

Cellular automaton model for three-lane urban road considering Internet of Vehicles lane

Author

Listed:
  • Han-Tao Zhao

    (School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, China)

  • Xin Zhao

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Heilongjiang 150090, China)

  • Liu-Yan Xin

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China)

Abstract

Although the technology of Internet of Vehicles (IoV) is developing rapidly, it will still take a long time to realize its overall popularization. Aimed at this transition phase, this paper proposes to set up an IoV lane on the urban road, which is specially designed for the connected vehicles, to provide a better driving environment for the connected vehicles. Considering the operation characteristics of traffic flow under traditional and IoV environment, this paper establishes a three-lane cellular automata model for urban road traffic flow considering IoV lane, modified on the basis of the Modified Comfortable Driving (MCD) model and symmetric two-lane cellular automata (STCA) model, and then takes simulation by MATLAB and makes analysis. The result shows that the setting of IoV lane can improve the velocity of networked vehicles to a great extent with no or just a bit decline in the ordinary vehicles’ speed, and it has a great effect on the mixture traffic flow, including the increase in both traffic volume and the average speed. What’s more, when the networking proportion is between 0.2 and 0.76, and the space occupation ranges from 0.18 to 0.56, the traffic benefit of IoV special lane can reach the best.

Suggested Citation

  • Han-Tao Zhao & Xin Zhao & Liu-Yan Xin, 2020. "Cellular automaton model for three-lane urban road considering Internet of Vehicles lane," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(12), pages 1-24, December.
  • Handle: RePEc:wsi:ijmpcx:v:31:y:2020:i:12:n:s012918312050179x
    DOI: 10.1142/S012918312050179X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S012918312050179X
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S012918312050179X?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. Mohd Anjum & Sana Shahab, 2023. "Emergency Vehicle Driving Assistance System Using Recurrent Neural Network with Navigational Data Processing Method," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    2. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Yin, Dezhi, 2021. "Vulnerability analysis of road network for dangerous goods transportation considering intentional attack: Based on Cellular Automata," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    3. Liu, Bo & Zhang, Geng, 2021. "A double velocity control method for a discrete-time cooperative driving system with varying time-delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(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:wsi:ijmpcx:v:31:y:2020:i:12:n:s012918312050179x. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.