Emotion-based diversity crowd behavior simulation in public emergency

摘要

Computer simulations of crowd behaviors in public emergency have become a hot research field, as they are able to provide rich valuable data for public safety analysis and disaster-preparedness measures. In most of the existing crowd escape simulation systems, human behaviors are often limited to taking flight or running away. However, due to the personality and the current emotion of each individual, they may behave in various ways, such as Samaritan or giving up on life et al. In order to simulate such like diversity crowd behavior, this paper presents an emotion-based diversity behavior model, by adopting the OCEAN personality model and the OCC emotion model, while being enriched with the incorporation of CA-SIRS emotion contagion model. We also consider the effects of Yerkes-Dodson Law on individuals' behaviors, which allows individuals to make authentic behaviors under stressful circumstances. The proposed model can provide more diverse individual behaviors compared to the existing emotion-based escape simulation models. The psychology-based individual modeling enables our model to be applied in various scenarios with slightly parameter adjustments.