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.
