Designing agent-based modeling in dynamic crowd simulation for stressful environment

In recent years, modeling and simulation technologies have been gaining tremendous momentum in investigating crowd dynamics. Various simulation architectures have been developed and virtual environment representations have also been constructed for crowd simulations. To represent the behavior of a crowd, a number of behavior models have been proposed with different types of modeling approaches, such as flow-based models and agent-based models. Crowd models may also concern different aspects of a crowd. In modeling stress response, a method based on well-established theory of Generalized Adaptation Syndrome (GAS) has been developed to simulate the dynamic behavior of the crowd. However, there is still lacking of method to address the way virtual agent interacts with the instant changing behavior of the crowd during stressful events. This study were review current work on modelling stress and stress behavior models and extends it into the area of crowd simulation to simulate the behavior of the stress response of virtual agent during stressful events. It attempts to look into the solution of the problem and utilized a method based on the psychological theory of GAS to develop an algorithm for responsive virtual agent under stressful events by determining the dynamic behavior