Advancing the Layered Approach to Agent-Based Crowd Simulation
Computing Sciences and Computer Engineering
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.
2008 22nd Workshop On Principles of Advanced and Distributed Simulation
(2008). Advancing the Layered Approach to Agent-Based Crowd Simulation. 2008 22nd Workshop On Principles of Advanced and Distributed Simulation.
Available at: https://aquila.usm.edu/fac_pubs/17160