Giuseppe Vizzari
Giuseppe Vizzari
Associate Professor of Computer Science, University of Milano-Bicocca
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Citat de
Citat de
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, 87-116, 2007
Adaptive pedestrian behaviour for the preservation of group cohesion
G Vizzari, L Manenti, L Crociani
Complex Adaptive Systems Modeling 1 (1), 1-29, 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
Observation results on pedestrian-vehicle interactions at non-signalized intersections towards simulation
A Gorrini, L Crociani, G Vizzari, S Bandini
Transportation research part F: traffic psychology and behaviour 59, 269-285, 2018
An agent-based pedestrian and group dynamics model applied to experimental and real-world scenarios
G Vizzari, L Manenti, K Ohtsuka, K Shimura
Journal of Intelligent Transportation Systems 19 (1), 32-45, 2015
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
Age and group-driven pedestrian behaviour: from observations to simulations
A Gorrini, G Vizzari, S Bandini
Collective Dynamics 1, 1-16, 2016
Towards a methodology for situated cellular agent based crowd simulations
S Bandini, ML Federici, S Manzoni, G Vizzari
Engineering Societies in the Agents World VI: 6th International Workshop …, 2006
A simulation model for non-signalized pedestrian crosswalks based on evidence from on field observation
C Feliciani, L Crociani, A Gorrini, G Vizzari, S Bandini, K Nishinari
Intelligenza Artificiale 11 (2), 117-138, 2017
An agent model of pedestrian and group dynamics: Experiments on group cohesion
S Bandini, F Rubagotti, G Vizzari, K Shimura
AI* IA 2011: Artificial Intelligence Around Man and Beyond: XIIth …, 2011
Route choice in pedestrian simulation: Design and evaluation of a model based on empirical observations
L Crociani, G Vizzari, D Yanagisawa, K Nishinari, S Bandini
Intelligenza Artificiale 10 (2), 163-182, 2016
Towards modelling pedestrian-vehicle interactions: Empirical study on urban unsignalized intersection
A Gorrini, G Vizzari, S Bandini
arXiv preprint arXiv:1610.07892, 2016
A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management.
A Vidali, L Crociani, G Vizzari, S Bandini
WOA, 42-50, 2019
An Approach for Managing Heterogeneous Speed Profiles in Cellular Automata Pedestrian Models.
S Bandini, L Crociani, G Vizzari
Journal of Cellular Automata 12 (5), 2017
A cellular automata based model for pedestrian and group dynamics: motivations and first experiments
S Bandini, F Rubagotti, G Vizzari, K Shimura
Parallel Computing Technologies: 11th International Conference, PaCT 2011 …, 2011
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
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