Automatic Accident Detection and Intelligent Navigation System
Citation
Akshatha.V, K .Nirmala Kumari "Automatic Accident Detection and Intelligent Navigation System", International Journal of Engineering Trends and Technology (IJETT), V49(7),419-423 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
According to the recent study of World Health Organization(WHO), every year over 1.2 million people die due to road accidents and almost 20 to 50 million people suffer from server injuries. This paper presents a novel methodology to automatically detect road accidents and provide an intelligent navigation system for the ambulance to reach the nearest hospital on time so that the passenger’s health is not compromised due to the traffic congestion. In the proposed system, each vehicle has an onboard unit to detect an accident and report the GPS location of the crash and the blood group of the victim to the nearest hospital server and ambulances through e-NOTIFY system. The communication between the user vehicle and the ambulance is called vehicle to vehicle communication. In order to reduce the delay due to traffic signals, and to facilitate a smooth movement of ambulance from crash spot to the hospital, a control system is designed.
Reference
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Keywords
e-NOTIFY, GPS, V2V, On-Board unit, Raspberry Pi, RF transmitter, RF receiver, Gyro sensor, SMTP protocol.