001     276318
005     20210129220841.0
024 7 _ |a 2128/16598
|2 Handle
037 _ _ |a FZJ-2015-06778
041 _ _ |a English
100 1 _ |a Graf, Arne
|0 P:(DE-Juel1)165850
|b 0
|e Corresponding author
245 _ _ |a Automated Routing in Pedestrian Dynamics
|f - 2015-10-22
260 _ _ |c 2015
300 _ _ |a 41 p.
336 7 _ |a Output Types/Supervised Student Publication
|2 DataCite
336 7 _ |a Thesis
|0 2
|2 EndNote
336 7 _ |a MASTERSTHESIS
|2 BibTeX
336 7 _ |a masterThesis
|2 DRIVER
336 7 _ |a Master Thesis
|b master
|m master
|0 PUB:(DE-HGF)19
|s 1516199495_24903
|2 PUB:(DE-HGF)
336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
|2 ORCID
502 _ _ |a Masterarbeit, FH Aachen, 2015
|c FH Aachen
|b Masterarbeit
|d 2015
520 _ _ |a The effect of an alternate floorfield is analyzed, by using itin a newly composed model for pedestrian dynamics.The model uses the solution to the Eikonal equation, which describes a2-D wave propagation. The wave starts in the target region and propagatesthroughout the geometry. Agents are directed in the opposite direction of thewave propagation, the negative gradient of aforementioned solution to the Eikonal equation.The Routing using a floorfield with homogeneous propagation speed will yieldnon-smooth pathways.In this thesis, an enhanced floorfield is described. A distance field is created and usedin the Eikonal equation, resulting in smooth pathways, which favor a certaindistance to walls. Special interest is taken in the behavior of agents close toobstacles.It is implemented in JuPedSim, a simulation suit for pedestrian simula-tion, developed at the Jülich Supercomputing Centre, Forschungszentrum JülichGmbH. The model is easy to use, fast and shows an organic routing through complex ge-ometries. The extent to which we alter the floorfield is subject to given analysis.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
650 _ 7 |x Masterarbeit
856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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909 C O |o oai:juser.fz-juelich.de:276318
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910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
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913 1 _ |a DE-HGF
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|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2015
915 _ _ |a OpenAccess
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a master
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


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