Advancing the Layered Approach to Agent-Based Crowd Simulation

  • Authors:
  • Bikramjit Banerjee;Ahmed Abukmail;Landon Kraemer

  • Affiliations:
  • -;-;-

  • Venue:
  • Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
  • Year:
  • 2008

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Abstract

We adapt a scalable layered intelligence technique from the game industry, for agent-based crowd simulation. We extend this approach for planned movements, pursuance of assignable goals, and avoidance of dynamically introduced obstacles/threats, while keeping the system scalable with the number of agents. We exploit parallel processing for expediting the pre-processing step that generates the path-plans offline. We demonstrate the various behaviors in hall-evacuation scenario, and experimentally establish the scalability of the frame-rates with increasing number of agents.