PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Giannotti F., Andrienko G., Andrienko N., Furletti B., Kertesz J., Liu F., Nanni M., Pappalardo L., Pelekis N., Renso C., Rinzivillo S. DATA SIM - Semantic-enriched data-driven theory of mobility demand and final framework for integration. DATA science for SIMulating the era of electric vehicles (DATASIM). Deliverable D2.2, 2011.
 
 
Abstract
(English)
This report presents the work pursued during the second year of the project by the partners participating in the Workpackage 2. The document propose an abstract simulation pipeline to discuss how the methods and patterns investigated in the WP may be integrated in a new generation of agent-based simulation systems.
Subject Human Mobility
Data Mining
Network Science
H.2.8 Database Applications. Data Mining


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