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
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"
Conference_Titel :
Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
Print_ISBN :
978-1-4799-1752-5
DOI :
10.1109/ICSNS.2015.7292411