Traffic congestion is a major issue in urban areas, leading to increased travel time, fuel consumption, and pollution. Traditional traffic light systems operate on fixed timers, often causing inefficiencies in vehicle movement. This project proposes a Density-Based Traffic Signal System Using IoT, which dynamically adjusts traffic signal durations based on real-time vehicle density. The system consists of four IR sensors placed at each side of a traffic junction to monitor the vehicle density. An Arduino microcontroller processes the data from the sensors and adjusts the traffic signal timings accordingly. Higher traffic density on a particular side will result in a longer green signal duration, while roads with less traffic will have shorter green signals to optimize flow. The system is powered by an external power supply and uses IoT technology to transmit real-time traffic data to a cloud platform for monitoring and analysis. By implementing this smart traffic management system, road congestion can be reduced, improving overall traffic efficiency and minimizing fuel wastage. Additionally, the integration of IoT allows authorities to remotely monitor traffic conditions and make informed decisions for better urban traffic control.      

The main objective of this project is:

• Automatic traffic lights control based on traffic density.
• Traffic density can be known by using IR sensors.
• IOT based traffic signal status monitoring.

    The major building blocks of this project are:  

• Power Supply Block.
• Arduino UNO.
• IR sensors.
• Traffic lights (red, green, yellow).
• ESP8266 WI-FI module.

    Software’s used:  

• Embedded C language.
• Arduino IDE studio for dumping the code into the microcontroller.
• Express SCH for Circuit design.
• WEB technology.

      Regulated Power Supply:

       

Block Diagram:  

video: