A Roving User Modeling Framework for Location Tracking Applications

Abstract

With the advent of GPS systems, location tracking has become an essential component of fleet management systems. Reliable location estimation of the location of each member of the fleet is critical for optimum operation of organizations such as the police force, taxi-cab, and trucking companies. In this paper a framework for modeling drivers in such environments for location tracking purposes is proposed. The framework's goal is to increase the LTS's ability to accurately answer queries about the whereabouts of its fleet members in the past, present, and the future

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