To meet passengers' needs even better, airports need to employ a passenger-centric viewpoint. Real-time information about flights is already passed to passengers nowadays. A next step towards passenger-centric services will be to use real-time information about passenger movement and behavior for an improved operational airport management.
We divide passengers into different categories such as going straight, finding the way, and walking around. The Category going straight specifies passengers with a goal and a clear idea of how to get there. The second category consists of passengers who need to find their next waypoint or the route to an already identified place. In the last category there are passengers who are waiting or strolling.
We adapted the approach originally developed for pedestrians in a shopping mall to the situation of an airport. In this paper, we apply our approach to model movements of passengers and to movement data derived from a microscopic simulation. The approach can be applied to passenger movements in real-time, providing the possibility to improve operational airport management.