Crowd queuing simulation with an improved emotional contagion model
Xue J X, Yin H, Lv P, et al
In crowd queuing events, the emotions of individuals are mutually infective, easily confusing the queuing order and possibly leading to crowd events. However, the impact of emotion and personality is not considered in current models of crowd behavior. Other studies focus on social interactions such as emotional transmission. Thus, there is a large difference between the simulation results and the real-life behavior of crowds. To improve the realism of crowd simulation results, we use the knowledge learned from Bosse's study, and propose an emotional contagion method for crowd simulation. This method combines
an improved susceptible-infected-recovered (SIR) model with cellular automata. Recognizing the importance of individual personalities in crowd queuing, it also adds the important personality parameters of individuals.