A mathematical model for the behavior of pedestrians
Behavioral Science
Introduction to the art and science of simulation
Proceedings of the 30th conference on Winter simulation
The use of models—making MABS more informative
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Dealing with space in multi--agent systems: a model for situated MAS
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Self-Organization in Biological Systems
Self-Organization in Biological Systems
CA Approach to Collective Phenomena in Pedestrian Dynamics
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Selection of information types based on personal utility: a testbed for traffic information markets
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Towards a Methodology for Developing Agent-Based Simulations: The MASim Methodology
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Innovations in Design & Decision Support Systems in Architecture and Urban Planning
Innovations in Design & Decision Support Systems in Architecture and Urban Planning
Supporting Action-at-a-distance in Situated Cellular Agents
Fundamenta Informaticae
Towards an Ontology for Crowds Description: A Proposal Based on Description Logic
ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
Towards Hybrid Situated Agents Based Virtual Environments
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Multi-agent Systems in Pedestrian Dynamics Modeling
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Agent-based pedestrian simulation of train evacuation integrating environmental data
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Crowd modeling and simulation technologies
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Microprocessors & Microsystems
A cellular automata based model for pedestrian and group dynamics: motivations and first experiments
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
An agent model of pedestrian and group dynamics: experiments on group cohesion
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
An agent-based proxemic model for pedestrian and group dynamics: motivations and first experiments
MABS'11 Proceedings of the 12th international conference on Multi-Agent-Based Simulation
Crowd evacuation for indoor public spaces using Coulomb's law
Advances in Artificial Intelligence
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The article describes a multi-agent approach to crowd modeling and simulation. After a brief introduction of the Situated Cellular Agents model, the guidelines to the crowd modeling approach is introduced as a way to support the communication among the different actors that are part of the simulation project team. The approach is then applied to describe a complex scenario providing a blend of competitive and cooperative behavior for pedestrian agents: an underground station. A module supporting the effective 3D visualization of simulated crowd dynamics is finally introduced, as an instrument for the communication of simulation results to decision makers and nonexperts in crowd phenomena.