Title
Agent-based human behavior modeling for crowd simulation
Abstract
Human crowd is a fascinating social phenomenon in nature. This paper presents our work on designing behavior model for virtual humans in a crowd simulation under normal-life and emergency situations. Our model adopts an agent-based approach and employs a layered framework to reflect the natural pattern of human-like decision making process, which generally involves a person's awareness of the situation and consequent changes on the internal attributes. The social group and crowd-related behaviors are modeled according to the findings and theories observed from social psychology (e.g., social attachment theory). By integrating our model into an agent execution process, each individual agent can response differently to the perceived environment and make realistic behavioral decisions based on various physiological, emotional, and social group attributes. To demonstrate the effectiveness of our model, a case study has been conducted, which shows that realistic human behaviors can be generated at both individual and group level. Copyright © 2008 John Wiley & Sons, Ltd.
Year
DOI
Venue
2008
10.1002/cav.v19:3/4
Journal of Visualization and Computer Animation
Keywords
Field
DocType
human behavior,crowd simulation
Social group,Social phenomenon,Computer science,Agent-based social simulation,Simulation,Crowd simulation,Human behavior,Attachment theory,Decision-making
Journal
Volume
Issue
ISSN
19
3-4
1546-4261
Citations 
PageRank 
References 
46
1.95
5
Authors
8
Name
Order
Citations
PageRank
Lin-bo Luo118915.97
Suiping Zhou253046.88
Wentong Cai31928197.81
Malcolm Yoke Hean Low469452.19
Feng Tian5463.30
Yongwei Wang610714.19
Xian Xiao71087.50
Dan Chen818713.44