Density Based Traffic Management using Arduino Sensor

This work focuses on developing a density-based traffic management system using Arduino and infrared (IR) sensors to optimize traffic signal timings based on real-time vehicle density. By detecting and analyzing traffic flow at intersections, the system dynamically adjusts green light durations, reducing congestion, minimizing wait times, and improving fuel efficiency. The proposed approach enhances urban traffic management by offering a cost-effective, scalable, and adaptive solution suitable for smart city applications. Initial testing demonstrates significant improvements in traffic flow, highlighting the potential of intelligent traffic control systems in modern urban environments