2012
Journal article  Restricted

Data science for simulating the era of electric vehicles

Janssens D., Giannotti F., Nanni M., Pedreschi D., Rinzivillo S.

Artificial Intelligence  Mobility Data Mining  Agent Based Simulation Systems 

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.

Source: KI. Künstliche Intelligenz (Oldenbourg) 26 (2012): 275–278. doi:10.1007/s13218-012-0183-6

Publisher: Böttcher-IT-Verl., Bremen , Germania


Metrics



Back to previous page
BibTeX entry
@article{oai:it.cnr:prodotti:219042,
	title = {Data science for simulating the era of electric vehicles},
	author = {Janssens D. and Giannotti F. and Nanni M. and Pedreschi D. and Rinzivillo S.},
	publisher = {Böttcher-IT-Verl., Bremen , Germania},
	doi = {10.1007/s13218-012-0183-6},
	journal = {KI. Künstliche Intelligenz (Oldenbourg)},
	volume = {26},
	pages = {275–278},
	year = {2012}
}

DATA SIM
Data Science for Simulating the Era of Electric Vehicles


OpenAIRE