1 Agent Based Crowd Simulation Overview Presentation Karthik Vasudevan 1/31/2008

2 Full Presentation Agenda Introduction to Agent Based Modeling and Simulation Crowd Simulation Extracting Human Behavior Agent Model Development Results and Discussion

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

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

5 Crowd Simulation Development

6 BDI Agent Model

7 AnyLogic Implementation

8 Crowd Simulation Screenshots

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,  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,  A. Borshchev, October 2007, Multi-method Simulation Modeing using AnyLogic, INFORMS Roundtable Meeting Fall 2007, Seattle, USA