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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Fleet telematics: Transforming transportation through data-driven solutions

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Lavanya Jacintha Victor *

The University of Texas at Austin, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 3970-3976

Article DOI: 10.30574/wjarr.2025.26.1.1568

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1568

Received on 01 March 2025; revised on 26 April 2025; accepted on 29 April 2025

This article presents a comprehensive overview of fleet telematics technology and its transformative impact on transportation management across various sectors. Fleet telematics integrates GPS tracking, onboard diagnostics, sensor technology, and wireless communication systems to create an interconnected data ecosystem that revolutionizes vehicle and driver management. The article explores the core technological infrastructure powering these systems, including their location tracking capabilities, diagnostic interfaces, and data transmission mechanisms. It examines how telematics enables operational optimization through dynamic route planning, driver behavior monitoring, and fuel efficiency management. The discussion extends to predictive maintenance protocols that transition fleets from scheduled to condition-based servicing, enhancing asset lifecycle management. Additionally, the article addresses how telematics strengthens security measures, facilitates regulatory compliance, and supports sustainability initiatives. Through detailed examination of these applications, the article demonstrates how fleet telematics delivers substantial improvements in operational efficiency, safety outcomes, cost management, and environmental responsibility. 

Telematics; Fleet Management; Predictive Maintenance; Route Optimization; Sustainability

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1568.pdf

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Lavanya Jacintha Victor. Fleet telematics: Transforming transportation through data-driven solutions. World Journal of Advanced Research and Reviews, 2025, 26(01), 3970-3976. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1568.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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