  We present a hybrid-driven trajectory prediction method based on group
emotion. The data driven and model driven methods are combined to make a
compromise between the controllability, generality, and efficiency of the
method on the basis of simulating more real crowd movements. A hybrid driven
method is proposed to improve the reliability of the calculation results based
on real crowd data, and ensure the controllability of the model. It reduces the
dependence of our model on real data and realizes the complementary advantages
of these two kinds of methods. In addition, we divide crowd into groups based
on human relations in society. So our method can calculate the movements in
different scales. We predict individual movement trajectories according to the
trajectories of group and fully consider the influence of the group movement
state on the individual movements. Besides we also propose a group emotion
calculation method and our method also considers the effect of group emotion on
crowd movements.
