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Published byMilo Nash Modified over 9 years ago
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1 Agent Based Crowd Simulation Overview Presentation Karthik Vasudevan 1/31/2008
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2 Full Presentation Agenda Introduction to Agent Based Modeling and Simulation Crowd Simulation Extracting Human Behavior Agent Model Development Results and Discussion
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3 Project Objectives Study the evacuation pattern around the national mall area under event of a terrorist bomb attack Provide an evacuation strategy for first responder teams Evaluate the stress on the Metro rail stations around the national mall area Study evolution of individual human behavior Study the effect of individual actions on evolving group behaviors
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4 Technology Overview Agent Based simulation using AnyLogic® Crowd Simulation Immersive Virtual Reality CAVE® simulations Study Individual behavior Belief-Desire-Intention agent models Model Individual Behavior Bayesian Belief Networks using MSBNx® Model human belief system Decision Trees using Lumenaut® Model planning and decision logic
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5 Crowd Simulation Development
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6 BDI Agent Model
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7 AnyLogic Implementation
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8 Crowd Simulation Screenshots
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9 References K. Vasudevan and Y. Son, October 2007, Balancing Evacuation Safety and Productivity in Manufacturing Facility Planning using Multi-Paradigm Simulations, submitted to International Journal of Production Research. K. Vasudevan and Y. Son, 2008, Current Consideration of Evacuation Safety and Productivity in Manufacturing Facility Planning using Multi-Paradigm Simulations, Submitted to 18th International Conference on Flexible Automation and Intelligent Manufacturing, Sweden A. Shendarkar, K. Vasudevan, S. Lee, Y. Son, December 2006, Crowd Simulation for Emergency Response using BDI Agents Based on Immersive Virtual Reality, submitted to Simulation Modelling Practice and Theory. A. Shendarkar, K. Vasudevan, S. Lee and Y. Son, Crowd Simulation for Emergency Response using BDI Agent based on Virtual Reality, Proceedings of the Winter Simulation Conference 2006, Monterey, CA, December 3-6, 2006. X. Zhao and Y. Son, BDI-based Human Decision-Making Model in Automated Manufacturing Systems, accepted International Journal of Modeling and Simulation. C.M. Macal and M.J. North, 2005, Tutorial on Agent-Based Modeling and Simulation. In Proceedings of the Winter Simulation Conference, 2-16. A. Borshchev, October 2007, Multi-method Simulation Modeing using AnyLogic, INFORMS Roundtable Meeting Fall 2007, Seattle, USA
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