Production matching for large learning systems
Production matching for large learning systems
Hierarchical Model for Real Time Simulation of Virtual Human Crowds
IEEE Transactions on Visualization and Computer Graphics
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Crowd Simulation
Agent-based human behavior modeling for crowd simulation
Computer Animation and Virtual Worlds - CASA'2008 Special Issue
Toward a Generic Framework for Modeling Human Behaviors in Crowd Simulation
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Spatial indexing in agent-based crowd simulation
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
Expert Systems with Applications: An International Journal
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Agent-based crowd simulation has been widely applied in the analysis of evacuation safety under disastrous and terrorist circumstances. In crowd simulation, the virtual environment plays an important role in influencing human behavior and defining the scenario. The concepts of informed environment and smart objects have been adopted to improve the realism of the simulation by embedding semantic information in the environment. However, there is no formal approach of using these concepts in crowd simulation. In this paper, we propose a flexible and efficient framework of Intelligent Environment with Smart and Active Objects (IESAO). We properly define different types of entities and interactions, and describe the approach of modeling environment-related behavior in the intelligent environment. This framework gives a new perspective of modeling human behavior in the design phase. An implementation and a case study are discussed to show the flexibility and efficiency of this framework.