Leveraging IoT and Big Data Analytics for Enhanced Operational Efficiency

Author(s)	Bhavya Vashisht
Country	United States
Abstract	The USA trucking industry serves as the backbone of the nation’s supply chain, yet it faces persistent challenges in fleet management, including inefficiencies, rising operational costs, and evolving regulatory requirements. This paper explores the integration of Internet of Things (IoT) technology and Big Data analytics as transformative tools to address these challenges. IoT-enabled devices, such as GPS and telematics systems, facilitate real-time monitoring of vehicles and assets, while Big Data analytics leverages the vast amounts of data generated for actionable insights. Together, these technologies offer unprecedented opportunities for route optimization, predictive maintenance, and driver safety, resulting in enhanced operational efficiency and cost savings. This paper also examines the benefits, challenges, and future prospects of these innovations, providing a roadmap for the USA trucking industry to adopt smarter fleet management solutions.
Keywords	Smart Fleet Management, IoT in Trucking, Big Data Analytics, USA Trucking Industry, Fleet Operational Efficiency
Field	Engineering
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-07-05
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.21866
Short DOI	https://doi.org/g82h39

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International Journal For Multidisciplinary Research