Advanced Fleet Management Systems: IoT and GVRP for Greener Logistics
Year: 2025
Type: article
Abstract: This study examines the integration of Internet of Things (IoT) and Green Vehicle Routing Problems (GVRP) to create modern, eco-friendly fleet management system that overcomes the limitations of traditional system through real-time data analytics, predictive maintenance, and optimized decision-making. While existing research on GVRP focuses on theoretical route optimizations, reductions in fuel consumption and greenhouse gas emissions, incorporating real-time IoT data can further aid in measuring these impacts accurately, and understanding their combined potential. In this novel study, the proposed system integrates Teltonika FMC003 telematics device, cloud computing, and GVRP algorithms to promote sustainable and cost-effective advanced fleet management.
Source: IFAC-PapersOnLine
Authors: Arslan Zahid, Antonella Petrillo, Fabio De Felice, Antonio Forcina
Institution: Parthenope University of Naples
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414567702