Abstract :

In order to address traffic congestion in contemporary cities, this project proposes a "Smart Traffic Light Signalling Strategy and Emergency Vehicle Priority Using Embedded Systems". In order to minimize delays, optimize traffic flow, and increase public safety, the system makes use of real-time traffic monitoring, dynamic signal adjustment, and emergency vehicle prioritizing. Through real-time adaptation, this technology provides a viable, scalable, and sustainable way to enhance urban transportation. The suggested system monitors traffic density and identifies emergency vehicles by integrating embedded technologies such as sound, infrared, and ultrasonic sensors. After processing the sensor data, the microcontroller of the system modifies the traffic lights to prioritize the most crowded lanes and provide emergency vehicles with immediate access. The system can react flexibly to shifting traffic conditions thanks to its real-time traffic monitoring capability, which lowers the possi