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@ARTICLE{Chraibi:811280,
author = {Chraibi, Mohcine and Steffen, Bernhard},
title = {{M}ultiscale simulation of pedestrians for efficient
predictive modeling in large events},
journal = {Journal of cellular automata},
volume = {11},
number = {4},
issn = {1557-5969},
address = {Philadelphia, Pa.},
publisher = {Old City Publishing},
reportid = {FZJ-2016-03781},
pages = {299-310},
year = {2016},
abstract = {The Hermes project [1] demonstrated the usefulness of on
site predictive simulations of probable evacuation scenarios
for security personnel. However, the hardware needed was
prohibitively expensive [2]. The present paper shows that a
multiscale approach can perform the simulation in a fraction
of time without loss of useful information. The main problem
is the correct passing of agents from a coarse scale model
to a fine scale model, here from a CA model to a force based
model. This will be achieved by inserting agents into the
force based model at positions and speeds optimized for
smooth walking either by a priori information or using
Voronoi cells. The resulting model is easily parallelised
using OpenMP, achieving reasonable efficiency.We also show
how a CA method can be modified to address the problem
better than standard CA, too. However, this approach needs
further development and calibration to be reliable.},
cin = {JSC},
ddc = {004},
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:000385016800004},
url = {https://juser.fz-juelich.de/record/811280},
}