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Automated Quality Assessment of Space-Continuous Models for Pedestrian Dynamics

In: Traffic and Granular Flow '17

Author

Listed:
  • Valentina Kurtc

    (Peter the Great St. Petersburg Polytechnic University)

  • Mohcine Chraibi

    (Forschungszentrum Jülich)

  • Antoine Tordeux

    (University of Wuppertal)

Abstract

In this work we propose a methodology for assessment of pedestrian models continuous in space. With respect to the Kolmogorov–Smirnov distance between two data-clouds, representing, for instance, simulated and the corresponding empirical data, we calculate an evaluation factor between zero and one. Based on the value of the herein developed factor, we make a statement about the goodness of the model under evaluation. Moreover this process can be repeated in an automatic way in order to maximize the above-mentioned factor and hence determine the optimal set of model parameters.

Suggested Citation

  • Valentina Kurtc & Mohcine Chraibi & Antoine Tordeux, 2019. "Automated Quality Assessment of Space-Continuous Models for Pedestrian Dynamics," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 317-325, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-11440-4_35
    DOI: 10.1007/978-3-030-11440-4_35
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