Giuseppe Vizzari
Giuseppe Vizzari
Associate Professor of Computer Science, University of Milano-Bicocca
Verified email at - Homepage
Cited by
Cited by
Agent based modeling and simulation: an informatics perspective
S Bandini, S Manzoni, G Vizzari
Journal of Artificial Societies and Social Simulation 12 (4), 4, 2009
Modeling dynamic environments in multi-agent simulation
A Helleboogh, G Vizzari, A Uhrmacher, F Michel
Autonomous Agents and Multi-Agent Systems 14 (1), 87-116, 2007
Adaptive pedestrian behaviour for the preservation of group cohesion
G Vizzari, L Manenti, L Crociani
Complex Adaptive Systems Modeling 1 (1), 7, 2013
Situated cellular agents: a model to simulate crowding dynamics
S Bandini, S Manzoni, G Vizzari
IEICE TRANSACTIONS on Information and Systems 87 (3), 669-676, 2004
Situated cellular agents approach to crowd modeling and simulation
S Bandini, ML Federici, G Vizzari
Cybernetics and Systems: An International Journal 38 (7), 729-753, 2007
Modelling negative interactions among pedestrians in high density situations
S Bandini, M Mondini, G Vizzari
Transportation research part C: emerging technologies 40, 251-270, 2014
Towards an integrated approach to crowd analysis and crowd synthesis: A case study and first results
S Bandini, A Gorrini, G Vizzari
Pattern Recognition Letters 44, 16-29, 2014
Towards a methodology for situated cellular agent based crowd simulations
S Bandini, ML Federici, S Manzoni, G Vizzari
International Workshop on Engineering Societies in the Agents World, 203-220, 2005
An agent model of pedestrian and group dynamics: experiments on group cohesion
S Bandini, F Rubagotti, G Vizzari, K Shimura
Congress of the Italian association for artificial intelligence, 104-116, 2011
Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows
SD Khan, S Bandini, S Basalamah, G Vizzari
Neurocomputing 177, 543-563, 2016
Cellular automata
S Manzoni, H Umeo, G Vizzari
Springer-Verlag Heidelberg, 2010
Toward a platform for multi-layered multi-agent situated system (MMASS)-based simulations: focusing on field diffusion
S Bandini, S Manzoni, G Vizzari
Applied Artificial Intelligence 20 (2-4), 327-351, 2006
Awareness in collaborative ubiquitous environments: The multilayered multi-agent situated system approach
MP Locatelli, G Vizzari
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 2 (4), 13-es, 2007
Age and group-driven pedestrian behaviour: from observations to simulations
A Gorrini, G Vizzari, S Bandini
Collective Dynamics 1, 1-16, 2016
Crowd modeling and simulation
S Bandini, S Manzoni, G Vizzari
Recent advances in design and decision support systems in architecture andá…, 2004
Crowd behavior modeling: From cellular automata to multi-agent systems
S Bandini, S Manzoni, G Vizzari
Multi-agent systems: simulation and applications, 301-324, 2009
Environments for situated multi-agent systems: Beyond infrastructure
D Weyns, G Vizzari, T Holvoet
International Workshop on Environments for Multi-Agent Systems, 1-17, 2005
Detecting dominant motion flows and people counting in high density crowds
S Khan, G Vizzari, S Bandini, S Basalamah
An analysis of different types and effects of asynchronicity in cellular automata update schemes
S Bandini, A Bonomi, G Vizzari
Natural Computing 11 (2), 277-287, 2012
A cellular automata based model for pedestrian and group dynamics: motivations and first experiments
S Bandini, F Rubagotti, G Vizzari, K Shimura
International Conference on Parallel Computing Technologies, 125-139, 2011
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