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 | 389 | 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 | 147 | 2007 |
Adaptive pedestrian behaviour for the preservation of group cohesion G Vizzari, L Manenti, L Crociani Complex Adaptive Systems Modeling 1, 1-29, 2013 | 128 | 2013 |
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 | 101 | 2007 |
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 | 98 | 2004 |
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 | 95 | 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 | 88 | 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 | 84 | 2018 |
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 | 68 | 2016 |
Age and group-driven pedestrian behaviour: from observations to simulations A Gorrini, G Vizzari, S Bandini Collective Dynamics 1, 1-16, 2016 | 67 | 2016 |
A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management. A Vidali, L Crociani, G Vizzari, S Bandini Woa, 42-50, 2019 | 62 | 2019 |
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 | 57 | 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 | 53 | 2017 |
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 | 53 | 2015 |
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 | 53 | 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 | 52 | 2016 |
Towards modelling pedestrian-vehicle interactions: Empirical study on urban unsignalized intersection A Gorrini, G Vizzari, S Bandini arXiv preprint arXiv:1610.07892, 2016 | 47 | 2016 |
An agent-based proxemic model for pedestrian and group dynamics: motivations and first experiments L Manenti, S Manzoni, G Vizzari, K Ohtsuka, K Shimura Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei …, 2012 | 46 | 2012 |
Cellular automata S Manzoni, H Umeo, G Vizzari Springer-Verlag Heidelberg, 2010 | 42 | 2010 |
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 | 41 | 2017 |