TOPIC: IoT BASED SYSTEM FOR ROAD RISK PREVENTION AND ACCIDENT MONITORING Case study: Ndjamena, Chad

Abstract

Traffic accidents remain a significant threat on roads worldwide despite various actions taken by the World Health Organization (WHO) and many other organisms and researchers around the world. Real-time Internet of Things (IoT) systems offer a promising approach to both preventing accidents and improving response to those that occur. In this study, we propose a comprehensive road safety system that combines sensor technology, real-time monitoring, and data storage. The system utilizes a temperature sensor to detect fire in the vehicle, an alcohol sensor to determine whether the driver was intoxicated, a gyroscope sensor to record data if the vehicle tilted or overturned during an accident, a GPS and GSM modem to send an SMS with the GPS coordinates of the incident, and an ultrasonic sensor to measure the distance between the driver and the obstacle before alerting the driver to monitor the speed of the vehicle. By analyzing this data, the system can predict potential accidents and trigger warnings for drivers. Additionally, the system can automatically detect accidents and send alerts to emergency services, minimizing response times and saving lives, saves all sensor data on a cloud in the event that any sensor detects aberrant behavior, allowing the investigating team to retrieve. Overall, data is accessible via the dashboard.