Smart Traffic Management System

Drushya S , Anush M P , Sunil B P

Traffic Congestion, Urban Areas, Smart Traffic Management System (STMS), Real-Time Traffic Control, YOLOv5 Object Detection, OLED Display

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.

Published Paper   E-Certificate

"Smart Traffic Management System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c182-c186, March-2025, Available :https://ijsdr.org/papers/IJSDR2503226.pdf

Volume 10 Issue 3, March-2025

Pages : c182-c186

Paper Reg. ID: IJSDR_301209

Published Paper Id: IJSDR2503226

Downloads: 000152

Research Area: Science and Technology

Country: Mysore, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503226

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503226

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition