Abstract: Traffic congestion has become a critical issue in urban areas, leading to increased travel times, fuel consumption, and environmental pollution. Effective traffic signal control and management systems play a vital role in mitigating congestion and improving traffic flow. Traditional traffic signal control approaches rely on fixed timing plans, which may not adapt well to dynamic traffic conditions and varying demand patterns. In recent years, density-based traffic signal control methods have gained prominence as a promising solution to address these challenges.

This abstract presents an overview of density-based traffic signal control and management systems. The fundamental principle behind these systems is to dynamically adjust signal timings based on real-time traffic conditions and the density of vehicles at intersections. By utilizing advanced sensor technologies, such as loop detectors, cameras, and vehicle-to-infrastructure communication, these systems gather comprehensive data on traffic flow and queue lengths.

 
Keywords: Arduino UNO, IR Sensors, LED’S, Connecting wires

| DOI: 10.17148/IARJSET.2023.10661