Automation of Traffic Congestion Reduction Management System

Abstract

In this project, built an intelligent traffic congestion management system with an ESP32 board. Traffic signal timings are changed in realtime by the system based on vehicle density data captured using 8 such IR sensor modules placed across various lanes of the road. The intelligent modification of green time duration (i.e., 10, 15, or 20 seconds) for the green lights are programmed according to different traffic conditions in order to prevent traffic jam and improve the flow of traffic. It has 4 traffic light modules that manage signal directions and it also counts with a 16x2 LCD display that has an I2C driver for real status updates. Power is supplied using two 3.7 V batteries, and the output voltage is reduced to 5 V by an MP1584 buck converter with good power efficiency. Supporting components in form of jumper wires, male-female headers, power switch and veroboard make it easy to connect the hardware. It is mounted on a white PVC board, which serves as a stable base for the device. At the conclusionof each traffic cycle, signal timings are sent over Wi-Fi to a Google Sheet by the ESP32 and stored in the cloud for analysis. It's in real time, so when there are no cars on the block, there are quicker transit times because the signals are computerized and intelligent." The presented solution is a scalable and low-energy cost way of traffic management promoting urban mobility. The use of cloud analytics also enables the monitoring tracking of trends over time of traffic flow patterns contributing to future urban development planning decisions. It is also possible to further develop the system, by integrating functionality such as pedestrian detection or emergency vehicle prioritization. The system is equipped with remote monitoring feature allowing intelligent and dynamic way of city traffic control, enabling its deployment on different types of cities ranging from small towns to mega cities.