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Data Science for Simulating the Era of Electric Vehicles

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dc.contributor.authorJanssens, Davy
dc.contributor.authorGiannotti, Fosca
dc.contributor.authorNanni, Mirco
dc.contributor.authorPedreschi, Dino
dc.contributor.authorRinzivillo, Salvatore
dc.date.accessioned2018-01-08T09:15:59Z
dc.date.available2018-01-08T09:15:59Z
dc.date.issued2012
dc.description.abstractThe 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.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11304
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 26, No. 3
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.titleData Science for Simulating the Era of Electric Vehicles
dc.typeText/Journal Article
gi.citation.endPage278
gi.citation.startPage275

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Künstliche Intelligenz 26(3) - August 2012