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Data Science for Simulating the Era of Electric Vehicles

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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.

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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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Authors and Affiliations

  1. Instituut voor Mobiliteit (IMOB), Universiteit Hasselt, Hasselt, Belgium

    Davy Janssens

  2. KDD Lab, ISTI-CNR, Pisa, Italy

    Fosca Giannotti, Mirco Nanni & Salvatore Rinzivillo

  3. KDD Lab, Department of Computer Science, University of Pisa, Pisa, Italy

    Dino Pedreschi

Authors
  1. Davy Janssens
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  2. Fosca Giannotti
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  3. Mirco Nanni
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  4. Dino Pedreschi
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  5. Salvatore Rinzivillo
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Corresponding author

Correspondence to Salvatore Rinzivillo.

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Janssens, D., Giannotti, F., Nanni, M. et al. Data Science for Simulating the Era of Electric Vehicles. Künstl Intell 26, 275–278 (2012). https://doi.org/10.1007/s13218-012-0183-6

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  • DOI: https://doi.org/10.1007/s13218-012-0183-6

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