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@ARTICLE{Huang:866636,
author = {Huang, Zhongyi and Chraibi, Mohcine and Cao, Shuchao and
Huang, Chuanli and Fang, Zhiming and Song, Weiguo},
title = {{A} microscopic method for the evaluating of continuous
pedestrian dynamic models},
journal = {Physica / A Statistical mechanics and its applications A},
volume = {536},
issn = {0378-4371},
address = {Amsterdam},
publisher = {North Holland Publ. Co.},
reportid = {FZJ-2019-05715},
pages = {122461 -},
year = {2019},
abstract = {In this paper, we propose a microscopic method to evaluate
continuous pedestrian dynamic models at the trajectory
level. By comparing the experimental and the simulated
trajectory in four directions, the evaluation of the model
can be described by a radar chart, with which both
qualitative and quantitative conclusions can be obtained. In
order to demonstrate our method, we evaluate a social force
model by 1,936 trajectories with graded densities in three
different scenarios. Three qualitative conclusions are
obtained by observing radar charts of the simulation of the
unidirectional experiments. All of them are verified by the
comparison of the macroscopic parameters. Besides, we find
that a model with smaller error in our method always has a
better performance at the macroscopic level. At last, the
possible quantitative descriptions of the method are
discussed. Compared to the evaluations by comparing
collective features like fundamental diagram, our method is
general, comprehensive and quantitative. The method provides
a new possibility to evaluate any continuous pedestrian
dynamic model in any scenario with a standard process.},
cin = {IAS-7},
ddc = {500},
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)16},
UT = {WOS:000500034900013},
doi = {10.1016/j.physa.2019.122461},
url = {https://juser.fz-juelich.de/record/866636},
}