Nowadays, pedestrian simulation is used in many different applications and has proven to be a valuable tool to
support the design and evaluation of architectural plans, to estimate traffic needs and capacities, to increase safety,
efficiency and comfort in crowded areas and to analyze different scenarios for emergency evacuations. Microscopic
models, in particular, allow to simulate very detailed human movement interactions on the individual level and thus
can reveal a multitude of useful information for designers and planners of infrastructures and urban places. As
computational power increases, and becomes more affordable, these microscopic models are also more frequently
used for highly complex environments which comprise crowd flows of several 10,000 individuals such as airports,
public transit hubs and mass events.
Human movement involves different behavioral processes which according to Hoogendoorn and Bovy (2004) can
be roughly grouped into a strategic (choice of general behavior, e.g. destinations, and activity area), a tactical (activity
scheduling and route choice) and an operational (short range behavior and instantaneous decisions) level. This paper