An Internet of Things (IOT)-Based Accident prevention and Rapid Response System

Abstract

Transportation has played a very important role in our daily lives and its development has made many of our chores much easier. With an increase in population in the recent years, there is an increase in the number of car accidents that happen every minute, some of which are caused by the use of alcohol by the drivers. Hence, there is a need to develop a system that caters for these problems and can effectively function to detect drunk drivers. The purpose of this paper is to introduce a system which helps in detecting alcohol usage and also notify an emergency unit as soon as any accident occurs. The system is achieved by integrating sensors with a microcontroller that can trigger at the time of an accident. The other modules like GPS and GSM are integrated with the system to obtain the location of the accidents and send it to an emergency number to notify them about the accident in order to obtain immediate help at the location. The performance of the system was checked using accuracy and response time in which an accuracy of 80% was recorded with a response time of 14.22 seconds. However, the system can further be worked on in order to improve the performance of the system