Leandra Valenti
Spatio-temporal fleet detection and Points of Interest identification for industrial/commercial vehicles.
Rel. Luca Vassio, Andrea Cavallo, Marco Mellia. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2024
Abstract
In recent years, technological advancements in many crucial fields have had an impact on the world of transport systems, giving birth to smart mobility. As more and more devices are connected to the Internet, also vehicles have been subject to transformations regarding connectivity: employing cutting-edge technologies, such as 4G/LTE/5G, vehicles are now able to provide real-time information to management services. Additionally, telematics companies working in industrial settings aim at providing services to thousands of operators, manufacturers and teams by processing the collected data. Finding fleets - groups of vehicles, owned or operated by a single entity - is therefore crucial to remotely monitor and coordinate the involved vehicles, optimize transportation services, enhance operational efficiency, and improve overall service quality.
This master's thesis seeks to explore the pivotal role of fleet detection and enhancement of fleet management services in such context, with a particular emphasis on the collaborative efforts with Tierra S.p.A., a distinguished provider of telematics solutions
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