We present a modelling approach that combines several aspects of different model classes. As a basis we use discrete time and continuous space. Principal idea of the model is to reproduce a pedestrian's decision about the direction of motion and the velocity for the next time step. The decision process relies on personal goals and information provided by visual perception of the environment. It is modelled by a stochastic process to represent inaccuracies in the agents' perception and decision. For calibration, simulation results are compared to empirical data qualitatively and quantitatively for different scenarios.
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