Intelligent Traffic Management: Implementing Smart Traffic Signals and Management Systems to Optimize Traffic Flow and Reduce Congestion

Author(s)	Dr. Vijaya Baskar A Arumugan
Country	India
Abstract	Urban traffic congestion poses a major challenge for cities worldwide, resulting in delays, increased fuel consumption, and environmental degradation. Intelligent Traffic Management Systems (ITMS) offer a transformative solution by integrating technologies such as Internet of Things (IoT), Artificial Intelligence (AI), and real-time data analytics. This paper explores the implementation of smart traffic signals and centralized traffic management platforms that dynamically adjust signal timings, predict congestion patterns, and enhance road safety. Case studies from global smart cities highlight the effectiveness of these systems in improving traffic flow and reducing commute times. The paper concludes with policy recommendations and the need for scalable infrastructure and public-private collaborations.
Keywords	Intelligent Traffic Management, Smart Traffic Signals, AI, IoT, Congestion Reduction, Urban Mobility, Traffic Optimization
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-06-24
DOI	https://doi.org/10.71097/IJSAT.v17.i2.7473

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International Journal on Science and Technology