ALCOHOL DETECTION AND VEHICLE ACCIDENT PREVENTION SYSTEM CASE STUDY: GOMA TOWN/DR CONGO

Abstract

Driving under the influence of alcohol is a leading cause of road accidents, resulting in significant loss of life and property. The need for technological interventions to reduce accidents caused by intoxicated drivers has become crucial. As a solution, this project aims to develop a system capable of detecting alcohol consumption by drivers and preventing vehicle ignition if alcohol is detected. Using affordable and accessible technology like Arduino, the project seeks to provide a real-time, cost-effective, and efficient accident prevention system. A technology called an alcohol detection driver system is used to stop drunk driving by identifying alcohol in a motorist's breath or blood. This technology correctly measures the amount of alcohol a driver has in their system using sensors and algorithms, and it stops the car from starting if the amount is more than the legal limit. The number of fatal accidents and traffic fatalities caused by drinking could be greatly decreased thanks to this technology. The main focus of this project is to carry out the experiment in lowering the number of alcohol-related incidents on the road. Alcohol detection devices come in a variety of forms right now, including ignition interlocks, passive alcohol sensors, and in-car breath analyzers. Although these systems have reduced the number of drunk driving accidents, there remain questions about their efficiency, dependability, and cost. According to the sensor's specs, the output voltage of the MQ-3 sensor reduces by 69% during the sensor's recovery period of 30 seconds at 69% of baseline resistance. To assess the long-term viability and efficiency of these systems in lowering alcohol-related accidents and enhancing traffic safety, more research is required.