  We investigate a stochastic model hierarchy for pedestrian flow. Starting
from a microscopic social force model, where the pedestrians switch randomly
between the two states stop-or-go, we derive an associated macroscopic model of
conservation law type. Therefore we use a kinetic mean-field equation and
introduce a new problem-oriented closure function. Numerical experiments are
presented to compare the above models and to show their similarities.
