Autosync Smart Traffic Light Management Using Arduino and Sensor Technology

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Rohini Chavan, Himani Deore, Akshaa Khekale, Prayuj Kolhe, Vedant Chougale

Abstract

This research focuses on the development of an intelligent traffic light control system using two Arduino Uno microcontrollers and ultrasonic sensors to address traffic flow issues at multi-lane intersections. Traditional systems, which rely on fixed-timing schedules, often fail to manage varying traffic densities effectively, especially when two lanes are involved. In prior models, when traffic was present in both lanes, the system struggled to allocate appropriate time slots, leading to confusion and inefficiencies in managing the flow. To overcome this, our system uses a priority-based timing mechanism. Each Arduino monitors traffic density in its respective lane, and the system dynamically adjusts traffic light durations, giving priority to the lane which had congestion first. The system has input as real-time traffic density from both lanes and produces output as adjusted traffic light timings based on lane priority. The system easily integrates into existing traffic infrastructure. Simulation results indicate a marked improvement in handling multi-lane traffic, reducing confusion and congestion by prioritizing lanes based on real-time traffic conditions.

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