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 | 399 | 2009 |
Cellular automata: From a theoretical parallel computational model to its application to complex systems S Bandini, G Mauri, R Serra Parallel Computing 27 (5), 539-553, 2001 | 137 | 2001 |
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 | 103 | 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 | 101 | 2004 |
Integrating awareness in cooperative applications through the reaction-diffusion metaphor C Simone, S Bandini Computer Supported Cooperative Work (CSCW) 11, 495-530, 2002 | 100 | 2002 |
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 | 99 | 2018 |
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 | 99 | 2014 |
Dealing with space in multi--agent systems: a model for situated MAS S Bandini, S Manzoni, C Simone Proceedings of the first international joint conference on Autonomous agents …, 2002 | 99 | 2002 |
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 | 92 | 2014 |
A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management. A Vidali, L Crociani, G Vizzari, S Bandini Woa, 42-50, 2019 | 84 | 2019 |
Heterogeneous agents situated in heterogeneous spaces S Bandini, S Manzoni, C Simone Applied Artificial Intelligence 16 (9-10), 831-852, 2002 | 76 | 2002 |
Age and group-driven pedestrian behaviour: from observations to simulations A Gorrini, G Vizzari, S Bandini Collective Dynamics 1, 1-16, 2016 | 72 | 2016 |
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 | 72 | 2016 |
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 | 58 | 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 | 58 | 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 | 57 | 2017 |
An agent-based model for plausible wayfinding in pedestrian simulation G Vizzari, L Crociani, S Bandini Engineering applications of artificial intelligence 87, 103241, 2020 | 54 | 2020 |
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 | 52 | 2011 |
Design issues for knowledge artifacts G Salazar-Torres, E Colombo, FSC Da Silva, CA Noriega, S Bandini Knowledge-based systems 21 (8), 856-867, 2008 | 51 | 2008 |
Towards modelling pedestrian-vehicle interactions: Empirical study on urban unsignalized intersection A Gorrini, G Vizzari, S Bandini arXiv preprint arXiv:1610.07892, 2016 | 50 | 2016 |