Smart Traffic Management System

Author(s)	Abhishek N M, Nikhil, Sunil B P
Country	India
Abstract	Traffic congestion in cities increases travel time, fuel use, and pollution. Traditional traffic lights use fixed timers, causing delays. This project develops a smart system that adjusts signals based on traffic. A USB webcam captures live road images. YOLOv5 detects and counts vehicles. Arduino UNO controls signals for better traffic flow. IR sensors improve accuracy in low light. An OLED display shows signals and countdowns. This system reduces wait times and stoppages. Machine learning and microcontrollers make it cost-effective. It enhances smart city infrastructure and reduces congestion.
Keywords	Traffic Congestion, Urban Areas, Smart Traffic Management System (STMS), Real-Time Traffic Control, YOLOv5 Object Detection, OLED Display
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-28
Cite This	Smart Traffic Management System - Abhishek N M, Nikhil, Sunil B P - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2979
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2979
Short DOI	https://doi.org/g896d4

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