001     866252
005     20210628150953.0
024 7 _ |a 10.1007/978-3-030-11440-4_35
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024 7 _ |a 2128/23584
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024 7 _ |a WOS:000653682700035
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037 _ _ |a FZJ-2019-05418
100 1 _ |a Kurtc, Valentina
|b 0
111 2 _ |a Traffic and Granular Flow
|g TGF17
|c Washington
|d 2017-07-19 - 2017-07-22
|w USA
245 _ _ |a Automated Quality Assessment of Space-Continuous Models for Pedestrian Dynamics
260 _ _ |a Cham
|c 2019
|b Springer International Publishing
295 1 0 |a Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor)
300 _ _ |a 317-325
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a book
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520 _ _ |a 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.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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700 1 _ |a Chraibi, Mohcine
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700 1 _ |a Tordeux, Antoine
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773 _ _ |a 10.1007/978-3-030-11440-4_35
856 4 _ |y OpenAccess
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914 1 _ |y 2019
915 _ _ |a OpenAccess
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