Smart Traffic Management System Emergency Vehicle

In today’s growing urban traffic conditions, emergency vehicles like ambulances often get delayed due to heavy congestion at intersections. Such delays can lead to critical consequences, especially in medical and rescue situations. This project presents a Smart Traffic Management System that automatically detects emergency vehicles and gives them priority by controlling traffic signals in real-time. The system uses an IP camera to continuously monitor traffic at a junction. Real- time video frames are processed using object detection algorithms to accurately identify ambulances. Once an emergency vehicle is detected, the system determines its direction of approach—North, South, East, or West. This direction data is transmitted via the MQTT protocol to the traffic signal controller. The controller then immediately turns the traffic light green in that direction while turning red for all other directions, allowing the ambulance to pass through without delay. After the vehicle clears the junction, the system resets the signals back to normal operation. The entire process is automated and requires no human intervention. This smart solution ensures faster emergency response, improves traffic management efficiency, and reduces risks of accidents at intersections. The use of IoT, image processing, and automation makes the system scalable and suitable for modern smart cities. Ultimately, this system is designed to save lives by minimizing delays for emergency vehicles.