Adaptation of personality-based decision making to crowd behavior simulations

Abstract

Simulation of crowd behaviors in emergency contexts is a critical issue concerning human lives. However, lack of human behavioral data in most of current simulation tools made them unrealistic. This is partially because of instability in the theoretical issues due to complexity of human behavior, and partially because of the gap between theories and what that can be implemented in agent environments. This research is an effort to investigate a system for realistic and intelligent crowd simulations based on personality, age, and gender of individuals. The model demonstrates some emergent behaviors, such as competitive pushing, queuing, and herding. © Springer-Verlag Berlin Heidelberg 2008.