  In this work we propose a methodology for assessment of pedestrian models
continuous in space. With respect to the Kolmogorov-Smirnov distance between
two data clouds, representing for instance simulated and the corresponding
empirical data, we calculate an evaluation factor between zero and one. Based
on the value of the herein developed factor, we make a statement about the
goodness of the model under evaluation. Moreover this process can be repeated
in an automatic way in order to maximize the above mentioned factor and hence
determine the optimal set of model parameters.
