Internet of Things Assisted Road Traffic and Safety Monitoring Scheme using Sensitive Alcohol Detectors with Speed Analyzing Protocol

Abstract

The term "Internet of Things" refers to a network of interconnected, distinctive gadgets. In the IoT, there is a vast variety of functions that a single device may serve. This study proposes a paradigm based on the Internet of Things to prevent intoxicated and sleepy driving, particularly at night. In this study, we use IoT technology to create an alcohol screening device for safer road mobility in a smart city. Limits for the amount of alcohol in one's blood are programmed and tracked with the help of a microcontroller. When the predetermined limit is achieved, the system sends the driver's blood alcohol concentration and the GPS coordinates of the car to a central monitoring unit. These models will aid in reducing drunk driving and keeping people safe on the road. Safer roads and fewer accidents are possible thanks to increased surveillance. The testing outcomes demonstrate the system's low cost, usefulness, precision, and dependability.