Towards a Flexible and Scalable Fleet Management Service

  • Authors:
  • Alexandros Efentakis;Sotiris Brakatsoulas;Nikos Grivas;Giorgos Lamprianidis;Kostas Patroumpas;Dieter Pfoser

  • Affiliations:
  • Research Center "Athena", Artemidos 6, Marousi 15125, Greece;Research Center "Athena", Artemidos 6, Marousi 15125, Greece;Research Center "Athena", Artemidos 6, Marousi 15125, Greece;Research Center "Athena", Artemidos 6, Marousi 15125, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Greece;Department of Geography and GeoInformation Science, George Mason University, 4400 University Drive, MS 6C3, Fairfax VA 22030-4444

  • Venue:
  • Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
  • Year:
  • 2013

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Abstract

GPS positioning devices are becoming a commodity sensor platform with the emergence and popularity of smartphones. This abundance of GPS trajectories has fueled significant research around map-matching and related applications such as traffic assessment and prediction. Unfortunately, this research has only been used in costly and complex fleet management solutions. Our latest research endeavor addresses this issue by presenting cost-effective solutions for adapting state-of-the-art research around map-matching and live traffic assessment in the context of fleet management applications. This paper showcases various research results wrapped in a single extensible fleet management platform.