  We present applications of a cellular automaton approach to pedestrian
dynamics introduced in [1,2]. It is shown that the model is able to reproduce
collective effects and self-organization phenomena encountered in pedestrian
traffic, e.g. lane formation in counterflow through a large corridor and
oscillations at doors. Furthermore we present simple examples where the model
is applied to the simulation of evacuation processes.
