IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i8p1773-d1118472.html
   My bibliography  Save this article

Study on Queue Length in the Whole Process of a Traffic Accident in an Extra-Long Tunnel

Author

Listed:
  • Ruru Xing

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Xiaoyu Cai

    (College of Smart City, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yuan Liu

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Zepeng Yang

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yuting Wang

    (School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Bo Peng

    (College of Smart City, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

To investigate traffic accident patterns in undersea tunnels and quantify the relationship among various factors and traffic accidents in undersea tunnels, we analyzed the rules of evolution during the entire process of vehicle congestion queuing. Additionally, we built a maximum queue-length estimation model based on shock-wave theory and a whole-process queue-length estimation model based on real-time data input. The results demonstrate that the model is most precise when the data are not smoothed and the time interval is 30 s. The maximum accuracy of the model is not improved by data smoothing processing, but it is substantially improved when the time interval is between 5 and 15 s. Various movable window lengths have no discernible effect on the results. Maximum queue-length estimation model accuracy is 92.34%, while real-time whole-process queue-length estimation model accuracy is 83.50%. The accuracy of the proposed model is greater than that of the input–output model, indicating that the proposed model can support timely and reasonable control measures.

Suggested Citation

  • Ruru Xing & Xiaoyu Cai & Yuan Liu & Zepeng Yang & Yuting Wang & Bo Peng, 2023. "Study on Queue Length in the Whole Process of a Traffic Accident in an Extra-Long Tunnel," Mathematics, MDPI, vol. 11(8), pages 1-22, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1773-:d:1118472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/8/1773/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/8/1773/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Wei & Hu, Yang, 2022. "A modified cell transmission model considering queuing characteristics for channelized zone at signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S. P. Niranjan & S. Devi Latha & Miroslav Mahdal & Krishnasamy Karthik, 2023. "Multiple Control Policy in Unreliable Two-Phase Bulk Queueing System with Active Bernoulli Feedback and Vacation," Mathematics, MDPI, vol. 12(1), pages 1-20, December.

    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. Fu, Ding-Jun & Zhang, Cun-Bao & Liu, Jun & Li, Tao & Li, Qi-Lang, 2024. "Research of the left-turn vehicles lane-changing behaviors at signalized intersections with contraflow lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(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:gam:jmathe:v:11:y:2023:i:8:p:1773-:d:1118472. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.