IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v12y2022i1p1-21.html
   My bibliography  Save this article

Traffic Accident Prevention in Low Visibility Conditions Using VANETs Cloud Environment

Author

Listed:
  • Kwok Tai Chui

    (Hong Kong Metropolitan University, Hong Kong)

  • Tanveer Singh Kochhar

    (Chandigarh College of Engineering and Technology, India)

  • Amit Chhabra

    (Chandigarh College of Engineering and Technology, India)

  • Sunil K. Singh

    (Chandigarh College of Engineering and Technology, India)

  • Deepinder Singh

    (Chandigarh College of Engineering and Technology, India)

  • Dragan Peraković

    (University of Zagreb, Croatia)

  • Ammar Almomani

    (Research and Innovation Department, Skyline University College, Sharjah, UAE & Al- Balqa Applied University, Jordan)

  • Varsha Arya

    (Insights2Techinfo, India & Lebanese American University, Beirut, Lebanon)

Abstract

Road accidents have become a major concern for safety today. The increase in the number of vehicles has significantly increased the real-time road traffic, leading to many fatal accidents. Over the years, researchers have been trying to find solutions to enhance vehicular security in order to prevent these accidents or at least reduce their impact. This paper aims to contribute in this domain by studying the reaction time of vehicles in low visibility conditions and proposing a solution which can be implemented in the real world to prevent accidents in such scenarios. A novel algorithm is proposed which utilizes a modified form of AODV routing protocol in VANETS Cloud to alert the vehicles whenever a leading vehicle in the same lane slows down. This study can help the drivers by providing them sufficient time to react before any occurrence of an accident. The drivers would have a better idea about the vehicles in front, allowing them to make proper and informed decisions while driving in low visibility conditions.

Suggested Citation

  • Kwok Tai Chui & Tanveer Singh Kochhar & Amit Chhabra & Sunil K. Singh & Deepinder Singh & Dragan Peraković & Ammar Almomani & Varsha Arya, 2022. "Traffic Accident Prevention in Low Visibility Conditions Using VANETs Cloud Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 12(1), pages 1-21, January.
    • Handle: RePEc:igg:jcac00:v:12:y:2022:i:1:p:1-21
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.313572
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jcac00:v:12:y:2022:i:1:p:1-21. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.