  Experiments with pedestrians revealed that the geometry of the domain, as
well as the incentive of pedestrians to reach a target as fast as possible have
a strong influence on the overall dynamics. In this paper, we propose and
validate different mathematical models at the micro- and macroscopic levels to
study the influence of both effects. We calibrate the models with experimental
data and compare the results at the micro -- as well as macroscopic levels. Our
numerical simulations reproduce qualitative experimental features on both
levels, and indicate how geometry and motivation level influence the observed
pedestrian density. Furthermore, we discuss the dynamics of solutions for
different modeling approaches and comment on the analysis of the respective
equations.
