An Intelligent Traffic Control System for Trouble-free Movement of Ambulances and Fire Trucks on Heavy Traffic Roads in Bangladesh Using YOLOv5 Algorithm and GSM Module

Abstract

One of the biggest problems developing countries like Bangladesh are facing is traffic problems. Especially metropolitan cities in a country need a proper traffic control system for stress-free movement, so the situation gets less stressful. This work has been designed to create a smooth- movement process for emergency vehicles like ambulances and fire trucks, which needs to be accessible as soon as possible during traffic congestion. The system would notify the traffic controller after detecting the emergency vehicle among all the stuck vehicles. This work uses a dataset constructed and labelled manually. To train the model, we have used the YOLOv5 algorithm. The accuracy of our model is 94%. The model detects emergency vehicles like ambulances and fire trucks as well as other vehicles captured by the CCTV camera of the road. However, only the detection of emergency vehicles would be notified to the traffic controller through Arduino Uno and GSM Module. That way, the traffic controller could clear that road for the easy movement of those emergency vehicles.