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@ARTICLE{KemlohWagoum:826878,
author = {Kemloh Wagoum, Armel Ulrich and Tordeux, Antoine and Liao,
W.},
title = {{U}nderstanding human queuing behaviour at exits: an
empirical study},
journal = {Royal Society Open Science},
volume = {4},
number = {1},
issn = {2054-5703},
address = {London},
publisher = {Royal Soc. Publ.},
reportid = {FZJ-2017-01094},
pages = {160896 -},
year = {2017},
abstract = {The choice of the exit to egress from a facility plays a
fundamental role in pedestrian modelling and simulation.
Yet, empirical evidence for backing up simulation is scarce.
In this contribution, we present three new groups of
experiments that we conducted in different geometries. We
varied parameters such as the width of the doors, the
initial location and number of pedestrians which in turn
affected their perception of the environment. We extracted
and analysed relevant indicators such as distance to the
exits and density levels. The results put in evidence the
fact that pedestrians use time-dependent information to
optimize their exit choice, and that, in congested states, a
load balancing over the exits occurs. We propose a minimal
modelling approach that covers those situations, especially
the cases where the geometry does not show a symmetrical
configuration. Most of the models try to achieve the load
balancing by simulating the system and solving optimization
problems. We show statistically and by simulation that a
linear model based on the distance to the exits and the
density levels around the exit can be an efficient dynamical
alternative.},
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:000393395100046},
pubmed = {pmid:28280588},
doi = {10.1098/rsos.160896},
url = {https://juser.fz-juelich.de/record/826878},
}