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@ARTICLE{Tordeux:202312,
author = {Tordeux, Antoine and Zhang, Jun and Steffen, Bernhard and
Seyfried, Armin},
title = {{Q}uantitative comparison of estimations for the density
within pedestrian streams},
journal = {Journal of statistical mechanics: theory and experiment},
volume = {2015},
number = {6},
issn = {1742-5468},
address = {Bristol},
publisher = {IOP Publ.},
reportid = {FZJ-2015-04576},
pages = {P06030 -},
year = {2015},
abstract = {In this work, the precision of estimators for the density
within unidirectional pedestrian streams is evaluated. The
analysis is done in controllable systems where the density
is homogeneous and all the characteristics are known. The
objectives are to estimate the global density with local
measurements or density profile at high spatial resolution
with no bias and low fluctuations. The classical estimation
using discrete numbers of observed pedestrians is compared
to continuous estimators using spacing distance, Voronoi
diagram, Gaussian kernel as well as maximum likelihood. Mean
squared error and bias of the estimators are calculated from
empirical data and Monte Carlo experiments. The results show
quantitatively how continuous approaches improve the
precision of the estimations.},
cin = {JSC},
ddc = {530},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000357407300032},
doi = {10.1088/1742-5468/2015/06/P06030},
url = {https://juser.fz-juelich.de/record/202312},
}