Title

Layered Intelligence for Agent-based Crowd Simulation

Document Type

Article

Publication Date

10-1-2009

Department

Computing

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 as well as congestions, while keeping the system scalable with the number of agents. We demonstrate the various behaviors in hall-evacuation scenarios, and experimentally establish the scalability of the frame rates with increasing numbers of agents.

Publication Title

Simulation-Transactions of the Society for Modeling and Simulation International

Volume

85

Issue

10

First Page

621

Last Page

633