DENSITY BASED TRAFFIC MANAGEMENT USING IOT

DENSITY BASED TRAFFIC MANAGEMENT USING IOT

Arjun Joshi1, Harish S2, Dhanush S3, Madhu B4, Akash D H4

1Arjun Joshi, Assistant Professor, Department of EEE &Vidya Vikas Institute of Engineering and Technology

2Harish Department of EEE &Vidya Vikas Institute of Engineering and Technology

3Dhanush S, Department of EEE &Vidya Vikas Institute of Engineering and Technology

4Madhu B, Department of EEE &Vidya Vikas Institute of Engineering and Technology

5Akash D H, Department of EEE &Vidya Vikas Institute of Engineering and Technology

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Abstract -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.

Key Words: Traffic congestion, IR sensors, Traffic signal control, IoT-based traffic management