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KI - Künstliche Intelligenz

, Volume 26, Issue 3, pp 275–278 | Cite as

Data Science for Simulating the Era of Electric Vehicles

  • Davy Janssens
  • Fosca Giannotti
  • Mirco Nanni
  • Dino Pedreschi
  • Salvatore RinzivilloEmail author
Projekt

Abstract

The vision and scientific challenges presented in this paper are the objectives of the FET-FP7 project DATASIM. The project aims at providing an entirely new and highly detailed spatio-temporal microsimulation methodology for human mobility, grounded on massive amounts of big data of various types and from various sources, with the goal to forecast the nation-wide consequences of a massive switch to electric vehicles, given the intertwined nature of mobility and power distribution networks.

Keywords

Electric Vehicle Road Transport Human Mobility Mobility Behavior Semantic Enrichment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 270833.

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Davy Janssens
    • 1
  • Fosca Giannotti
    • 2
  • Mirco Nanni
    • 2
  • Dino Pedreschi
    • 3
  • Salvatore Rinzivillo
    • 2
    Email author
  1. 1.Instituut voor Mobiliteit (IMOB)Universiteit HasseltHasseltBelgium
  2. 2.KDD LabISTI-CNRPisaItaly
  3. 3.KDD Lab, Department of Computer ScienceUniversity of PisaPisaItaly

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