| dc.contributor.author | Janssens, Davy | |
| dc.contributor.author | Giannotti, Fosca | |
| dc.contributor.author | Nanni, Mirco | |
| dc.contributor.author | Pedreschi, Dino | |
| dc.contributor.author | Rinzivillo, Salvatore | |
| dc.date | 2012-08-01 | |
| dc.date.accessioned | 2018-01-08T09:15:59Z | |
| dc.date.available | 2018-01-08T09:15:59Z | |
| dc.date.issued | 2012 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/11304 | |
| dc.description.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. | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 26, No. 3 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Data Science for Simulating the Era of Electric Vehicles | |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 275-278 | |
| gi.identifier.doi | 10.1007/s13218-012-0183-6 | |
