This paper explores the spectrum of possibilities that data mining offer when used to obtain transport variables,
according to the multiple databases generated from satellite monitoring, which are applied, among others, to
commercial, security and research activities.
It is becoming more and more frequent to find entire fleets of vehicles with installed GPS systems, from
companies that today use monitoring for purposes other than transport. Applications such as fleet control for
operational purposes, taxi services, security systems, and public transport systems, among others, aim at
supporting the operation of the vehicle fleet, controlling the different aspects, in line with the entrepreneur needs
or orientation.
Thus the generated databases can be used to obtain byproducts related to different transport variables such as
operation speeds, stop rates, parking zones, trip schedule, number of daily trips, and daily mileage, among many
others. This paper proposes a methodology to obtain different variables and presents a specific case where this
methodology can be applied.
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