TRAFFIC CONGESTION

Abstract

This project presents an IoT-based intelligent traffic control system using an ESP32 microcontroller,
Bluetooth communication, and sensor integration. The system operates in both automatic and
manual modes, with automatic mode dynamically adjusting traffic light durations based on real-time
vehicle density measured by an ultrasonic sensor. Manual mode allows remote control of traffic
signals via Bluetooth commands, providing flexibility for traffic authorities. An infrared sensor is
employed to detect emergency vehicles, granting them immediate priority passage by switching the
corresponding road signal to green. A buzzer module enhances safety by providing audible alerts
during signal transitions. The system ensures efficient traffic flow, reduces congestion, and
prioritizes emergency response. Its modular design allows scalability to multiple roads and
integration of additional sensors, making it a practical solution for smart city traffic management