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Current Trends in Engineering Science
[ ISSN : 2833-356X ]

AI-Powered Traffic Optimization: A Paradigm Shift in Network Management

Mini Review
Volume 5 - Issue 1 | Article DOI : 10.54026/CTES/1072

Ubaid Ul Mannan Mohammed*

School of Computer and Information Sciences, University of the Cumberlands, KY, USA

Corresponding Authors

Ubaid Ul Mannan Mohammed, School of Computer and Information Sciences, University of the Cumberlands, KY, USA

Keywords

AI-Powered Traffic Optimization; Intelligent Transportation Systems (ITS); Machine Learning in Traffic Management; Real-Time Traffic Analytics; Smart Traffic Control

PDF
Received : February 24, 2025
Published : March 05, 2025

Abstract

Network management has long relied on traditional methods, often reactive and limited in scope. However, the increasing complexity and dynamism of modern networks demand a more intelligent and adaptive approach. Artificial Intelligence (AI) is emerging as a powerful solution, enabling a paradigm shift towards proactive, real-time traffic optimization. This paper explores the application of AI in network management, focusing on its ability to analyze vast datasets, predict traffic patterns, automate routing decisions, and enhance security measures with the various AI techniques employed, the benefits of AI-driven optimization, the challenges hindering widespread adoption, and the future prospects of this transformative technology.