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@ARTICLE{Wang:843897,
author = {Wang, Jiayue and Boltes, Maik and Seyfried, Armin and
Zhang, Jun and Ziemer, Verena and Weng, Wenguo},
title = {{L}inking pedestrian flow characteristics with stepping
locomotion},
journal = {Physica / A},
volume = {500},
issn = {0378-4371},
address = {Amsterdam},
publisher = {North Holland Publ. Co.},
reportid = {FZJ-2018-01424},
pages = {106-120},
year = {2018},
abstract = {While properties of human traffic flow are described by
speed, density and flow, the locomotion of pedestrian is
based on steps. To relate characteristics of human locomotor
system with properties of human traffic flow, this paper
aims to connect gait characteristics like step length, step
frequency, swaying amplitude and synchronization with speed
and density and thus to build a ground for advanced
pedestrian models. For this aim, observational and
experimental study on the single-file movement of
pedestrians at different densities is conducted. Methods to
measure step length, step frequency, swaying amplitude and
step synchronization are proposed by means of trajectories
of the head. Mathematical models for the relations of step
length or frequency and speed are evaluated. The problem how
step length and step duration are influenced by factors like
body height and density is investigated. It is shown that
the effect of body height on step length and step duration
changes with density. Furthermore, two different types of
step in-phase synchronization between two successive
pedestrians are observed and the influence of step
synchronization on step length is examined.},
cin = {JSC},
ddc = {500},
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:000430027400011},
doi = {10.1016/j.physa.2018.02.021},
url = {https://juser.fz-juelich.de/record/843897},
}