  For simulation models of pedestrian dynamics there are always the issues of
calibration and validation. These are usually done by comparing measured
properties of the dynamics found in observation, experiments and simulation in
certain scenarios. For this the scenarios first need to be sensitive to
parameter changes of a particular model or - if models are compared -
differences between models. Second it is helpful if the exhibited differences
can be expressed in quantities which are as simple as possible ideally a single
number. Such a scenario is proposed in this contribution together with
evaluation measures. In an example evaluation of a particular model it is shown
that the proposed evaluation measures are very sensitive to parameter changes
and therefore summarize differences effects of parameter changes and
differences between models efficiently, sometimes in a single number. It is
shown how the symmetry which exists in the achiral geometry of the proposed
example scenario is broken in particular simulation runs exhibiting chiral
dynamics, while in the statistics of 1,000 simulation runs there is a symmetry
between left- and right-chiral dynamics. In the course of the symmetry breaking
differences between models and parameter settings are amplified which is the
origin of the high sensitivity of the scenario against parameter changes.
