Automated Quality Assessment of Space-Continuous Models for Pedestrian Dynamics

Kurtc, Valentina; Tordeux, Antoine; Chraibi, Mohcine

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

Contribution to a conference proceedings/Contribution to a book

FZJ-2019-05418

Automated Quality Assessment of Space-Continuous Models for Pedestrian Dynamics

Kurtc, V. ; Chraibi, M. (Corresponding author)FZJ* ; Tordeux, A.

2019
Springer International Publishing Cham

Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor)
Traffic and Granular Flow, TGF17, Washington, USA, 19 Jul 2017 - 22 Jul 2017 Cham : Springer International Publishing 317-325 (2019) [10.1007/978-3-030-11440-4_35]

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Please use a persistent id in citations: http://hdl.handle.net/2128/23584 doi:10.1007/978-3-030-11440-4_35

Abstract: In this work we propose a methodology for assessment of pedestrian modelscontinuous in space.With respect to the Kolmogorov-Smirnov distance between twodata clouds, representing for instance simulated and the corresponding empiricaldata, we calculate an evaluation factor between zero and one. Based on the value ofthe herein developed factor, we make a statement about the goodness of the modelunder evaluation. Moreover this process can be repeated in an automatic way inorder to maximize the above mentioned factor and hence determine the optimal setof model parameters.

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