Kriging-based prediction and interpolation for modeling pedestrian dynamics

We investigate the use of kriging, which is a spatial statistical tool in random fields, for modeling pedestrian dynamics with interaction between pedestrians. In particular we focus on a comparison of prediction and interpolation of pedestrian movements and we discuss advantages and disadvantages of these two computations and demonstrate them with publicly available dataset.