Experimental Evaluation of Safety through Automatic Identification of Drunk Driving (DD) and Road Accidents (RA) as a part of Vehicular Ad Hoc Network (VANET)

Abstract

VANET is a wireless network system that gives driving support and motorway wellbeing. Road accidents assert a staggeringly high number of lives each year. As is needless to say; a majority of accidents, which occur, are due to drunk driving.Accordingly, there is no compelling component to keep this. Here we have a designed framework to monitors the driver's state using various sensors and searches for triggers that can cause accidents. When an alert situation is distinguished, the framework informs the driver and tries to caution him. On the off chance that the driver does not react in a stipulated time, the framework controls the speed of the vehicles. An SMS (Short Message Service) which contains the present GPS (Global Positioning System) area of the vehicle is sent via GSM (Global System for Mobile communication) module to the police control room to alarm the police. Here we also intersection the new thought for recover the general population at the time of crisis to overcome such risky accidents and correspondence issues in VANET (Vehicular Ad Hoc Network); we have utilized sensors hubs as a part of the vehicles. Once the vehicle meets an accident, the sensor will inform about the accidents to the nearest health center with the help of RSUs (road side sensor units) and Base Stations (BS). Furthermore, it gives the new route to vehicles to keep away from traffic blockage with the assistance of sensor cooperation situation. In this way, it gives a feasible and effective solution for the issue of intoxicated driving and Accidents Notification in VANET.