Simulating pedestrians through the inner-city: an agent-based approach

This paper describes an agent-based model for the simulation of pedestrian movement in city centers for various types of visitors. It takes into account preferences of different types of pedestrians. The model is tested and calibrated using GNSS data of pedestrians collected during a field experiment in the city of Delft. Although the model as presented here is not yet fully validated it showed to be able to generate plausible patterns of movements making the model potential useful for urban design studies.