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@INPROCEEDINGS{Andresen:824910,
author = {Andresen, Erik and Haensel, David and Chraibi, Mohcine and
Seyfried, Armin},
title = {{W}ayfinding and {C}ognitive {M}aps for {P}edestrian
{M}odels},
address = {Cham},
publisher = {Springer International Publishing},
reportid = {FZJ-2016-07412},
pages = {249-256},
year = {2016},
comment = {Traffic and Granular Flow '15 / Knoop, Victor L. (Editor) ;
Cham : Springer International Publishing, 2016, Chapter 32 ;
ISBN: 978-3-319-33481-3},
booktitle = {Traffic and Granular Flow '15 / Knoop,
Victor L. (Editor) ; Cham : Springer
International Publishing, 2016, Chapter
32 ; ISBN: 978-3-319-33481-3},
abstract = {Usually, routing models in pedestrian dynamics assume that
agents have fulfilled and global knowledge about the
building’s structure. However, they neglect the fact that
pedestrians possess no or only parts of information about
their position relative to final exits and possible routes
leading to them. To get a more realistic description we
introduce the systematics of gathering and using spatial
knowledge. A new wayfinding model for pedestrian dynamics is
proposed. The model defines for every pedestrian an
individual knowledge representation implying inaccuracies
and uncertainties. In addition, knowledge-driven search
strategies are introduced. The presented concept is tested
on a fictive example scenario.},
month = {Oct},
date = {2015-10-28},
organization = {Traffic and Granular Flow, Delft
(Neederlands), 28 Oct 2015 - 30 Oct
2015},
cin = {JSC},
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)8 / PUB:(DE-HGF)7},
doi = {10.1007/978-3-319-33482-0_32},
url = {https://juser.fz-juelich.de/record/824910},
}