Intelligent Road Safety: IoT-enabled Drunk Driving and Accident Detection System

Abstract

Drunk driving has long been a severe problem for public safety due to the large number of road accidents around the world. To address this issue, numerous methods for detecting drunk drivers and accidents have been developed. The objective of this paper is to propose a low-cost automated system for detecting drunk drivers and turning off the ignition system to prohibit the driver from operating the vehicle. Our proposed prototype consists of multiple sensors and a microcontroller along with GPS and WCDMA for simultaneous communication. The sensors monitor the vehicle in real-time to detect any kind of catastrophe, if anything gets detected the user gets a notification and alert through the Mobile app and text message. The purpose of this research is to develop ongoing initiatives to reduce accidents with the goal of adopting system advancements in the real world to ensure road safety.