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Advancing the Layered Approach to Agent-Based Crowd Simulation

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3 Author(s)
Banerjee, B. ; Sch. of Comput., Univ. of Southern Mississippi, Hattiesburg, MS ; Abukmail, A. ; Kraemer, L.

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 a hall-evacuation scenario, and experimentally establish the scalability of the frame-rates with increasing number of agents.

Published in:

Principles of Advanced and Distributed Simulation, 2008. PADS '08. 22nd Workshop on

Date of Conference:

3-6 June 2008

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