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Data science for simulating the era of electric vehicles

Articolo
Data di Pubblicazione:
2012
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 microsimula- tion methodology for human mobility, grounded on mas- sive amounts of big data of various types and from var- ious 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 dis- tribution networks.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Mobility Data Mining; Agent Based Simulation Systems
Elenco autori:
Giannotti, Fosca; Nanni, Mirco; Rinzivillo, Salvatore
Autori di Ateneo:
NANNI MIRCO
RINZIVILLO SALVATORE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/4705
Pubblicato in:
KI - KÜNSTLICHE INTELLIGENZ
Journal
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URL

http://link.springer.com/article/10.1007/s13218-012-0183-6
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