Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Cellular Automata Model of Pedestrian Dynamics for Normal and Evacuation Conditions
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Swarm Interaction-Based Simulation of Occupant Evacuation
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata
AMS '09 Proceedings of the 2009 Third Asia International Conference on Modelling & Simulation
A crowd evacuation simulation model based on 2.5-dimension cellular automaton
VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
Practice of crowd evacuating process model with cellular automata based on safety training
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
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This paper presents a Cellular Automata (CA) based crowd behavior model which mimics movements of humans in an indoor environment. Because of the increasing population in modern cities, the understanding of crowd behavior in the urban environment has become a crucial issue in emergency management. In the proposed crowd behavior model, pedestrians are confined to move in a cellular space where their movements are determined by their own status and the surrounding environment characteristics. A pedestrian's behavior is constructed from several attributes: including the "walking toward goal" behavior, "collision and congestion avoidance" behavior, "grouping" behavior and path smoothness. Simulations have been carried out with a crowd consisting of thirty pedestrians in an indoor environment to validate the model.