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@PHDTHESIS{KemlohWagoum:138088,
author = {Kemloh Wagoum, Armel Ulrich},
title = {{R}oute choice modelling and runtime optimisation for
simulation of building evacuation},
volume = {17},
school = {Universität Wuppertal},
type = {Dr.},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2013-04341},
isbn = {978-3-89336-865-5},
series = {Schriften des Forschungszentrums Jülich. IAS Series},
pages = {XVIII, 122 S.},
year = {2013},
note = {Universität Wuppertal, Diss., 2012},
abstract = {Increasing number of visitors at large-scale events
combined with the increasing complexity of modern buildings
set a major challenge for planners, operators and emergency
services. Examples include multi-purpose arenas, large
railway stations and airports. In this dissertation the use
of modern parallel hardware in combination with optimised
algorithms are for the first time used on site to speed up
the simulation of large crowds. The aim is to perform
real-time forecasts of pedestrian traffic. For this purpose,
special neighbourhood lists and a two-stage hybrid
parallelisation are used. The second part of this
dissertation deals with route choice in complex structures,
which plays an important role in achieving realistic
computer simulations of pedestrian flows. The developed
route choice process is based on visibility and perception
of the local environment by the simulated agents. It has as
basis a navigation graph. The generation of the graph,
especially in complex structures, has also been performed
within the framework of this thesis. The work is closed with
an empirical study in which the route choice profiles of
spectators during various football games and concert
performances are analysed and compared with the proposed
model. The runtime optimisation strategies and route choice
algorithms have been successfully tested in the ESPRIT arena
in Düsseldorf (Germany), where they have been integrated in
an evacuation assistant. Keywords: pedestrian dynamics,
route choice, evacuation, high performance computing.},
keywords = {Dissertation (GND)},
cin = {JSC},
ddc = {500},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {411 - Computational Science and Mathematical Methods
(POF2-411)},
pid = {G:(DE-HGF)POF2-411},
typ = {PUB:(DE-HGF)11},
url = {https://juser.fz-juelich.de/record/138088},
}