Smart Traffic Management Systems: A Machine Learning Approach

Author(s)	Prof. Premkumar Sangle
Country	India
Abstract	The increasing number of vehicles around the world has led to a widespread problem of traffic congestion, wasting valuable time at major intersections. Traditional traffic management systems work well under low traffic conditions but struggle when vehicle density varies across different lanes. To tackle this issue, we propose transitioning from a static to a dynamic signal switching model in traffic control systems. This novel approach seeks to overhaul the conventional traffic management framework, providing more efficient control during fluctuating traffic volumes, and creating a more adaptive and intelligent system for managing road traffic.
Keywords	Smart Traffic Control, Dynamic Signal Switching, Traffic Management, Adaptive Systems, Intelligent Transportation, Machine Learning.
Field	Engineering
Published In	Volume 6, Issue 4, July-August 2025
Published On	2025-07-20
DOI	https://doi.org/10.63363/aijfr.2025.v06i04.1053
Short DOI	https://doi.org/g9zq83

About AIJFR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-91574-37535	editor@aijfr.com

Advanced International Journal for Research