An Intelligent Traffic Control cum Management system

hardware setup

The main issue faced by the people in the major cities of India is the Traffic congestion. As the count of the vehicle users is increasing day by day, there is high probability of traffic occurrence and there is a need to develop a solution to control and manage them. In order to meet the demand of an overpopulated city, the deployed traditional traffic lights are not sufficient, we have proposed an Intelligent Traffic Control cum Management framework which employs Python, Web – Development, Embedded C and Flask as its major technical stack.

A camera is fixed in the signal which captures the images of 4 roads connected to it. Then the captured images are passed through the YOLO (You Only Look Once) algorithm coded in python. This algorithm detects the vehicles in each lane and based on the count of vehicles at particular distance, it calculates which lane has heavy traffic and which is with less traffic. This information is provided as output in a webpage which is developed by us using HTML,CSS and JS. The output is connected and passed to Arduino, which is programmed in Embedded C. Based on the delay time which we set in Arduino, the lane with heavy traffic is provided with increased time to pass through based on the traffic present there. If the lane is heavily traffic, it is provided with green signal and paved way with increased time so that the traffic is easily cleared in less duration. According the lane with less traffic is given with required less time to pass through. KEYWORDS : YOLO Algorithm, Web-Development, Object Detection, Traffic Management, Flask, Embedded C The proposed system incorporates an Intelligent framework which understands and responds in accordance to the traffic congestion present in the particular region. The significant innovation in this framework is that increased time is provided for the lanes with high traffic to pass through which clears the traffic congestion meanwhile saving the time as well as the energy. Significantly, our proposed project contributes to the reduction of pollution which in turn contributes to the achievement of Sustainable Development Goals (SDG) which is the blue print to achieve a better nation.