Data Science for Simulating the Era of Electric Vehicles

Data Science for Simulating the Era of Electric Vehicles
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DOI:
10.1007/s13218-012-0183-6
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发表时间:
2012-03
期刊:
KI - Künstliche Intelligenz
影响因子:
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通讯作者:
D. Janssens;F. Giannotti;M. Nanni;D. Pedreschi;S. Rinzivillo
D. Janssens;F. Giannotti;M. Nanni;D. Pedreschi;S. Rinzivillo
中科院分区:
其他
文献类型:
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作者:
D. Janssens;F. Giannotti;M. Nanni;D. Pedreschi;S. Rinzivillo

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本文提出的愿景和科学挑战是FET-FP 7项目DATASIM的目标。该项目旨在为人类流动提供一种全新的、高度详细的时空微观模拟方法,该方法基于各种类型和各种来源的大量大数据,目标是预测大规模转向电动汽车的全国性后果,考虑到流动性和配电网络的交织性质。
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.