Abstract: Rapid urbanization and the continuous increase in vehicle population have resulted in severe traffic congestion in metropolitan cities. Conventional traffic signal systems operate on fixed time intervals and fail to adapt dynamically to real-time traffic density, often leading to unnecessary delays. One of the most critical consequences of such inefficiency is the delayed movement of emergency vehicles such as ambulances, fire engines, and police vehicles.
This project presents a Smart Traffic Navigation System that dynamically controls traffic signals based on lane-wise vehicle density and provides absolute priority to emergency vehicles. The system is implemented using Python and Pygame, simulating a real-world four-way intersection with intelligent traffic management. When an emergency vehicle is detected, the system overrides normal traffic flow and creates a clear emergency corridor.

Downloads: | DOI: 10.17148/IJIREEICE.2025.131216