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 |
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 | 56 | 2015 |
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 | 49 | 2012 |
Data collection for modeling and simulation: case study at the university of milan-bicocca ML Federici, A Gorrini, L Manenti, G Vizzari Cellular Automata: 10th International Conference on Cellular Automata for …, 2012 | 43 | 2012 |
Towards an Agent-Based Proxemic Model for Pedestrian and Group Dynamic. L Manenti, S Manzoni, G Vizzari, K Ohtsuka, K Shimura WOA 621, 2010 | 23 | 2010 |
Crowd and pedestrian dynamics: Empirical investigation and simulation S Bandini, A Gorrini, L Manenti, G Vizzari Proceedings of Measuring Behavior 2012, 308-311, 2012 | 22 | 2012 |
MAKKSim: MAS-based crowd simulations for designer’s decision support L Crociani, L Manenti, G Vizzari Advances on Practical Applications of Agents and Multi-Agent Systems: 11th …, 2013 | 17 | 2013 |
An innovative scenario for pedestrian data collection: The observation of an admission test at the university of milano-bicocca ML Federici, A Gorrini, L Manenti, G Vizzari Pedestrian and Evacuation Dynamics 2012, 143-150, 2014 | 16 | 2014 |
Makksim: Dealing with pedestrian groups in mas-based crowd simulation L Manenti, S Manzoni, G Vizzari, M Bicocca Proceedings of the 12th Workshop on Objects and Agents, 2011 | 15 | 2011 |
An agent-based model for pedestrian and group dynamics: experimental and real-world scenarios. G Vizzari, L Manenti AAMAS, 1341-1342, 2012 | 14 | 2012 |
Crystals of Crowd: Modelling Pedestrian Groups Using MAS-based Approach. L Manenti, S Manzoni WOA, 51-57, 2011 | 14 | 2011 |
A knowledge-based approach to crowd classification S Bandini, L Manenti, S Manzoni, F Sartori Pedestrian and Evacuation Dynamics, 515-525, 2011 | 14 | 2011 |
A Conceptual and Computational Model for Knowledge-based Agents in ANDROID. F Sartori, L Manenti, L Grazioli WOA@ AI* IA 2013, 41-46, 2013 | 12 | 2013 |
Metadata support to retrieve and revise solutions in case-based reasoning L Manenti, F Sartori International Journal of Metadata, Semantics and Ontologies 6 (3-4), 185-194, 2011 | 11 | 2011 |
Generation of pedestrian groups distributions with probabilistic cellular automata S Bandini, L Manenti, S Manzoni International Conference on Cellular Automata, 299-308, 2012 | 10 | 2012 |
A checklist for the evaluation of pedestrian simulation software functionalities ML Federici, L Manenti, S Manzoni arXiv preprint arXiv:1404.7717, 2014 | 7 | 2014 |
Towards a MAS Model for Crowd Simulation at Pop-Rock Concerts Exploiting Ontologies and Fuzzy Logic. E Magnolo, L Manenti, S Manzoni, F Sartori WOA, 92-99, 2009 | 7 | 2009 |
eMediation-Towards Smart Online Dispute Resolution E Fersini, E Messina, L Manenti, G Bagnara, S El Jelali, G Arosio International Conference on Knowledge Management and Information Sharing 2 …, 2014 | 6 | 2014 |
TomTom Data Applications for the Assessment of Tactical Urbanism Interventions: The Case of Bologna M Pozzoni, G Ceccarelli, A Gorrini, L Manenti, L Sanfilippo Sustainability 15 (17), 12716, 2023 | 4 | 2023 |
A Stochastic Cellular Automata for Modeling Pedestrian Groups Distribution. L Manenti, S Manzoni, S Bandini Journal of Cellular Automata 8, 2013 | 4 | 2013 |