IOT based traffic light control based on traffic density

• Published in: 2023 Second International Conference on Informatics (ICI) pp. 1 - 5
• Main Authors: Gupta, Rohan, Singh, Ankit Kumar, Dabral, Suhani, Tewari, Pratistha Pankaj
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.11.2023
• Subjects: Cameras; IoT; real time data analytics; Road safety; servo motor; Servomotors; Sociology; Statistics; Timing; Traffic congestion; ultrasonic sensors
• DOI: 10.1109/ICI60088.2023.10420867

In our contemporary world, traffic issues are one of the biggest challenges faced by the citizens and needs to be tackled by the administration in a very efficient and practical way. In times when we are living in a fast moving world then why should we allow issues like traffic jams to slow the pace of our progress? With the increasing population, there will be an increase in traffic issues. The IoT based traffic light system based on traffic density is an intelligent and modern approach to traffic management that leverages the power of connected devices and real time data analytics. The system is designed to address the problem of traffic congestion by dynamically adjusting traffic signal timings based on traffic density at each interaction.as well as capturing images of those who break the traffic roles It aims to improve road safety, reduce traffic congestion and enhance the overall traffic flow. Hence a smart approach for our new smart world issue which will also help in saving energy. The interesting part of this project is the use of servo motors to rotate the camera. It will reduce the cost of using multiple cameras along with each ultrasonic sensor and hence making it a reliable proposed method.