  We present a mathematical model to predict pedestrian motion over a finite
horizon, intended for use in collision avoidance algorithms for autonomous
driving. The model is based on a road map structure, and assumes a rational
pedestrian behavior. We compare our model with the state-of-the art and discuss
its accuracy, and limitations, both in simulations and in comparison to real
data.
