Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/PADS.2008.13 | PADS |
Keywords | Field | DocType |
navigation,crowd simulation,computational modeling,distributed computing,path planning,intelligent agent,artificial intelligence,parallel processing,multi agent systems | Intelligent agent,Computer science,Game industry,Parallel processing,Expediting,Multi-agent system,Real-time computing,Exploit,Crowd simulation,Scalability,Distributed computing | Conference |
ISSN | Citations | PageRank |
1087-4097 | 18 | 2.11 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bikramjit Banerjee | 1 | 284 | 32.63 |
| Ahmed Abukmail | 2 | 35 | 5.50 |
| Landon Kraemer | 3 | 89 | 10.03 |