Driving Innovation in Fleet Management: An Integrated Data-Driven Framework for Operational Excellence and Sustainability

Suryakant Kaushik

2025

Abstract

This paper presents a comprehensive framework for leveraging advanced data analytics, artificial intelligence, and Internet of Things (IoT) technologies to revolutionize fleet management systems across various transportation sectors. Fleet operations globally face significant challenges including operational inefficiencies, increasing fuel costs, environmental compliance requirements, and safety concerns. The proposed integrated data-driven framework addresses these challenges by combining operational research techniques with AI-powered analytics and IoT-enabled sensor networks to optimize routing, reduce fuel consumption, enhance predictive maintenance capabilities, and improve driver safety protocols. Through analysis of real-world implementations across commercial and municipal fleets, we demonstrate how this framework has achieved fuel consumption reductions of up to 15%, decreased unplanned maintenance downtime by 30%, and significantly improved safety metrics. Our research provides empirical evidence of return on investment across various fleet sizes and compositions, including successful retrofitting strategies for legacy vehicles.

Paper Citation

in Harvard Style

Kaushik S. (2025). Driving Innovation in Fleet Management: An Integrated Data-Driven Framework for Operational Excellence and Sustainability. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 500-507. DOI: 10.5220/0013561400003967

in Bibtex Style

@conference{data25,
author={Suryakant Kaushik},
title={Driving Innovation in Fleet Management: An Integrated Data-Driven Framework for Operational Excellence and Sustainability},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={500-507},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013561400003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Driving Innovation in Fleet Management: An Integrated Data-Driven Framework for Operational Excellence and Sustainability
SN - 978-989-758-758-0
AU - Kaushik S.
PY - 2025
SP - 500
EP - 507
DO - 10.5220/0013561400003967
PB - SciTePress