001     877645
005     20210130005156.0
024 7 _ |a 10.17815/CD.2020.24
|2 doi
024 7 _ |a 2128/25141
|2 Handle
037 _ _ |a FZJ-2020-02358
041 _ _ |a English
082 _ _ |a 380
100 1 _ |a Klamroth, Kathrin
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Network Simulation for Pedestrian Flows with HyDEFS
260 _ _ |a Jülich
|c 2020
|b Forschungszentrum Jülich
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1593160186_7882
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The reliable simulation of pedestrian movement is an essential tool for the security aware design and analysis of buildings and infrastructure. We developed HyDEFS, an event-driven dynamic flow simulation software which is designed to simulate pedestrian movement depending on varying routing decisions of the individual users and varying constraints. HyDEFS uses given density depending velocities to model congestions and evaluates flow distributions with respect to average and maximum travel time. This is of particular importance when considering evacuation scenarios. We apply HyDEFS on two small networks and cross validate its results by time-discrete and time-continuous calculations.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Lang, Bruno
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Seyfried, Armin
|0 P:(DE-Juel1)132266
|b 2
|e Corresponding author
700 1 _ |a Stiglmayr, Michael
|0 P:(DE-HGF)0
|b 3
773 _ _ |a 10.17815/CD.2020.24
|g Vol. 5, p. A24
|0 PERI:(DE-600)2854776-7
|p A24
|t Collective dynamics
|v 5
|y 2020
|x 2366-8539
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/877645/files/Klamroth-et-al-CD-45-383-1-PB.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/877645/files/Klamroth-et-al-CD-45-383-1-PB.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:877645
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)132266
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|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 2020
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-01-06
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2020-01-06
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-7-20180321
|k IAS-7
|l Zivile Sicherheitsforschung
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-7-20180321
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21