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Comparison of simulations with the old and new method

Generalized collision-free velocity model for pedestrian dynamics

We have improved a velocity-based model by representing pedestrians with dynamical ellipses and considering neighboring pedestrians in the field of vision during their movement.

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Schematic overview of parametric models and artificial neural networks

Prediction with Artificial Neural Networks

Artificial neural networks can be utilized to forecast the movement of pedestrians in complex architectures. We have developed, trained and tested several artificial neural networks for this purpose.

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Animation of biped model for a single person

Single-Lane Movement with a Biped Model

To enable a more realtistic simulation of pedestrians' movement a model was developed that simulates individual steps combined with an adjustment of the velocity.

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Uang2019 Teaser

New Method for Evaluation of Models for Pedestrian Dynamics

We proposed a microscopic method for the evaluation of continuous pedestrian dynamic models.

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