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@INPROCEEDINGS{Kurtc:866252,
author = {Kurtc, Valentina and Chraibi, Mohcine and Tordeux, Antoine},
title = {{A}utomated {Q}uality {A}ssessment of {S}pace-{C}ontinuous
{M}odels for {P}edestrian {D}ynamics},
address = {Cham},
publisher = {Springer International Publishing},
reportid = {FZJ-2019-05418},
pages = {317-325},
year = {2019},
comment = {Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor)},
booktitle = {Traffic and Granular Flow '17 /
Hamdar, Samer H. (Editor)},
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.},
month = {Jul},
date = {2017-07-19},
organization = {Traffic and Granular Flow, Washington
(USA), 19 Jul 2017 - 22 Jul 2017},
cin = {IAS-7},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
UT = {WOS:000653682700035},
doi = {10.1007/978-3-030-11440-4_35},
url = {https://juser.fz-juelich.de/record/866252},
}