Name
Abstract | ||
|---|---|---|
Crowds must be simulated believable in terms of their appearance and behavior to improve a virtual environment's realism. Due to the complex nature of human behavior, realistic behavior of agents in crowd simulations is still a challenging problem. In this paper, we propose a novel behavioral model which builds analytical maps to control agents’ behavior adaptively with agent–crowd interaction formulations. We introduce information theoretical concepts to construct analytical maps automatically. Our model can be integrated into crowd simulators and enhance their behavioral complexity. We made comparative analyses of the presented behavior model with measured crowd data and two agent-based crowd simulators. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1093/comjnl/bxr014 | Comput. J. |
Keywords | Field | DocType |
behavior model,integrating information theory,human behavior,agent-based crowd simulation behavior,behavior adaptively,agent-based crowd simulator,crowd simulation,realistic behavior,crowd interaction formulation,measured crowd data,crowd simulator,analytical map,behavior modeling,information theory | Information theory,Crowds,Virtual machine,Computer science,Behavioral modeling,Human–computer interaction,Crowd simulation | Journal |
Volume | Issue | ISSN |
54 | 11 | 0010-4620 |
Citations | PageRank | References |
8 | 0.60 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cagatay Turkay | 1 | 287 | 22.63 |
| Emre Koc | 2 | 19 | 2.26 |
| Selim Balcisoy | 3 | 264 | 37.15 |