Automated Quality Assessment of Space-Continuous Models for Pedestrian Dynamics

Valentina Kurtc (), Mohcine Chraibi () and Antoine Tordeux ()
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Valentina Kurtc: Peter the Great St. Petersburg Polytechnic University
Mohcine Chraibi: Forschungszentrum Jülich
Antoine Tordeux: University of Wuppertal

A chapter in Traffic and Granular Flow '17, 2019, pp 317-325 from Springer

Abstract: 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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_35

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DOI: 10.1007/978-3-030-11440-4_35

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