Abstract: Crowd movement is a common but complicated phenomenon in our daily lives. The behaviors of crowds can be affected by both individual and crowd. Most previous research could be categorized as either agent-based methods [van den Berg et al. 2009], which have advantage on simulating individual behaviors, or continuous methods [Narain et al. 2009] which are efficient for simulating crowds with large population. To take advantage of both, [Golas et al. 2013] proposed a hybrid solution which combined and blended both methods. [Bruneau et al. 2015] proposed a virtual reality based study to measure the behavior of individual avoidance of crowds. Their study showed that people have different choices of going through or around based on the density, moving direction and type of crowd. During their experiments, they found significant individual difference between subjects, but not studied as a factor.