Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
On the advantages of non-cooperative behavior in agent populations
Mathematics and Computers in Simulation
System Issues in Multi-agent Simulation of Large Crowds
Multi-Agent-Based Simulation VIII
An Indoor Crowd Simulation Using a 2D-3D Hybrid Data Model
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Regulation function of the environment in agent-based simulation
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
An enhanced indoor pedestrian model supporting spatial DBMSs
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
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
Evacuation Simulation Based on Cognitive Decision Making Model in a Socio-Technical System
DS-RT '11 Proceedings of the 2011 IEEE/ACM 15th International Symposium on Distributed Simulation and Real Time Applications
Pedestrian modelling: a comparative study using agent-based cellular automata
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Information in crowds: the Swarm information model
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
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
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Recent events have highlighted the importance of good models of crowds, however many existing crowd models are either computationally inefficient, or are missing a crucial human behaviour in crowds: local pushing. After discussing some essential aspects of force in crowds, and considering some existing models, we propose an efficient agent-based model of crowd evacuation that incorporates pushing forces and injuries. Basing our model on existing work, we extend this model to investigate force effects at different crowd densities. Analysis of our model shows significant effects of force on the crowd, as well as significant effects of crowd density when measuring the number of agents still trapped inside the space after a fixed time.