DENSITY BASED TRAFFIC MANAGEMENT USING IOT

Traffic congestion is a pressing issue in cities worldwide, impacting commuters’ time and causing delays. Traditional traffic lights with fixed timings exacerbate the problem. To address this, a microcontroller-based system utilizes IR sensors to detect vehicle presence, adjusting signal timings based on traffic density. By categorizing density as low, medium, or high, the system dynamically controls LED glow durations, prioritizing roads with heavier traffic. An emergency override allows authorities to prioritize emergency vehicles. Signal status is accessible via the Blynk application. This innovation aims to alleviate congestion, with potential for further development.