IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v93y2020i3d10.1140_epjb_e2020-100492-6.html
   My bibliography  Save this article

A continuum model with traffic interruption probability and electronic throttle opening angle effect under connected vehicle environment

Author

Listed:
  • Cong Zhai

    (School of Transportation and Civil Engineering and Architecture, Foshan University
    School of Civil Engineering and Transportation, South China University of Technology)

  • Weitiao Wu

    (School of Civil Engineering and Transportation, South China University of Technology)

Abstract

The electronic throttle system is the key component of the intelligent control system of connected and automated vehicles (CAVs). Although CAVs are expected to be commercialized in the near future, in practice the disturbances and interruptions are not uncommon along the road. In this paper, we propose a new continuum model considering the traffic interruption probability and the electronic throttle opening angle effect. Based on the linear stability analysis, the stability condition of the proposed model is obtained. The KdV-Burgers equation of the new continuum model is further obtained in the nonlinear analysis. The density solution obtained by solving the above equation can be used to describe the evolution characteristics of traffic flow near the neutral stability curve. Results show that the traffic interruption probability and the electronic throttle opening angle effect has a considerable impact on the stability of traffic flow. Graphical abstract

Suggested Citation

  • Cong Zhai & Weitiao Wu, 2020. "A continuum model with traffic interruption probability and electronic throttle opening angle effect under connected vehicle environment," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(3), pages 1-12, March.
    • Handle: RePEc:spr:eurphb:v:93:y:2020:i:3:d:10.1140_epjb_e2020-100492-6
    DOI: 10.1140/epjb/e2020-100492-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2020-100492-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1140/epjb/e2020-100492-6?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. Luo, Ying & Chen, Yanyan & Lu, Kaiming & Chen, Liang & Zhang, Jian, 2024. "Modeling and analysis of heterogeneous traffic flow considering dynamic information flow topology and driving behavioral characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    2. Zhai, Cong & Wu, Weitiao, 2022. "A continuum model considering the uncertain velocity of preceding vehicles on gradient highways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    3. Jafaripournimchahi, Ammar & Cai, Yingfeng & Wang, Hai & Sun, Lu & Yang, Biao, 2022. "Stability analysis of delayed-feedback control effect in the continuum traffic flow of autonomous vehicles without V2I communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    4. Ammar Jafaripournimchahi & Yingfeng Cai & Hai Wang & Lu Sun, 2022. "Environmental Analyses of Delayed-Feedback Control Effects in Continuum-Traffic Flow of Autonomous Vehicles," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    5. Zhai, Cong & Wu, Weitiao, 2021. "A continuous traffic flow model considering predictive headway variation and preceding vehicle’s taillight effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).

    More about this item

    Keywords

    Statistical and Nonlinear Physics;

    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:93:y:2020:i:3:d:10.1140_epjb_e2020-100492-6. 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.