• DocumentCode
    3668034
  • Title

    VANET based integrated framework for smart accident management system

  • Author

    Chatrapathi C;M. Newlin Rajkumar;V. Venkatesakumar

  • Author_Institution
    Department of Computer Science and Engineering, Anna University Regional Centre, Coimbatore, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Number of vehicles on the road increase dramatically in the recent years. It leads to Accidents that are the major cause of death in most of the countries. Even though there is a vast development of traffic management system and automotive technologies, the number of accidents increases day to day. In most of the cases of accidents, lack of providing quick first aid and timely medical service is the cause for loss of life. Hence it is necessary to develop a common framework for accident detection, avoiding secondary accidents, timely alert of first responder and optimizing the traffic for the first responder (ambulance). In our approach we combine emerging Internet of Things (IoT) and VANET to propose a framework for accident alerting and traffic optimization for ambulances Our approach provides reliable, autonomous framework which allows vehicles, ambulances, and hospitals to establish and maintain their network themselves. Our approach reduces the amount of time lacks in alerting ambulance and due to traffic congestion and increases the chance of saving the lives of the accident victims.
  • Keywords
    "Roads","Accidents","Vehicles","Hospitals","Servers","Heuristic algorithms","Vehicular ad hoc networks"
  • Publisher
    ieee
  • Conference_Titel
    Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
  • Print_ISBN
    978-1-4799-1752-5
  • Type

    conf

  • DOI
    10.1109/ICSNS.2015.7292411
  • Filename
    7292411