IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i3p68-d514068.html
   My bibliography  Save this article

Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

Author

Listed:
  • Steven Knowles Flanagan

    (School of Engineering and Applied Science, The College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK)

  • Zuoyin Tang

    (School of Engineering and Applied Science, The College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK)

  • Jianhua He

    (School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK)

  • Irfan Yusoff

    (School of Engineering and Applied Science, The College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK)

Abstract

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

Suggested Citation

  • Steven Knowles Flanagan & Zuoyin Tang & Jianhua He & Irfan Yusoff, 2021. "Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance," Future Internet, MDPI, vol. 13(3), pages 1-24, March.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:3:p:68-:d:514068
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/3/68/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/13/3/68/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Nazakat Ali & Manzoor Hussain & Jang-Eui Hong, 2021. "Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems," Mathematics, MDPI, vol. 9(22), pages 1-20, November.

    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:jftint:v:13:y:2021:i:3:p:68-:d:514068. 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: 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.