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Design and development of a Smart Traffic Management System using IoT to optimize traffic flow and reduce congestion.
The Smart Traffic Management System is designed to monitor vehicle density at intersections and optimize traffic signals accordingly. This system reduces congestion, minimizes fuel consumption, and improves traffic efficiency. By using IoT technology, the project provides a scalable solution for urban traffic management, contributing to smarter and more sustainable cities.
The system uses IR sensors to detect vehicle density on different roads at an intersection. Traffic signals are represented using LEDs for this simulation. The ESP8266 Wi-Fi module provides connectivity, enabling real-time data uploads and remote monitoring. The system is simulated using Proteus, ensuring reliability and scalability for real-world applications.
IR sensors monitor vehicle density on each road. The NodeMCU processes the data and dynamically adjusts traffic signal durations to prioritize roads with higher vehicle density. The ESP8266 module, configured with MQTT, facilitates real-time communication with the management portal, enabling remote monitoring and control. The management portal visualizes traffic data, displays congestion trends, and allows for manual traffic signal adjustments. The MQTT protocol ensures fast and reliable data transmission, making the system scalable for real-world applications.
