001     828448
005     20210129230109.0
024 7 _ |a 10.1088/1742-5468/aa620d
|2 doi
024 7 _ |a WOS:000397745400001
|2 WOS
037 _ _ |a FZJ-2017-02407
082 _ _ |a 530
100 1 _ |a Cao, Shuchao
|0 P:(DE-Juel1)168116
|b 0
245 _ _ |a Fundamental diagrams for multidirectional pedestrian flows
260 _ _ |a Bristol
|c 2017
|b IOP Publ.
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 1490614228_2588
|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 Fundamental diagrams for uni-, bi- and multidirectional flows at corridors and crossings are investigated by a series of experiments under laboratory conditions. At high densities pedestrians are forced to make detours or even change the intended destinations. These unintended movements lead to an overestimation of the performance of crossings. To consider these effects in the determination of the capacities the fundamental diagrams are measured using advanced methods. In comparison to classical methods, significant differences relating to the capacities are found. The fundamental diagrams are compared with data of uni-, bi-, and multidirectional flows and with data of the literature.
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 Seyfried, Armin
|0 P:(DE-Juel1)132266
|b 1
|u fzj
700 1 _ |a Zhang, Jun
|0 P:(DE-Juel1)156196
|b 2
|u fzj
700 1 _ |a Holl, Stefan
|0 P:(DE-Juel1)132140
|b 3
|u fzj
700 1 _ |a Song, Weiguo
|0 P:(DE-HGF)0
|b 4
|e Corresponding author
773 _ _ |a 10.1088/1742-5468/aa620d
|g Vol. 2017, no. 3, p. 033404 -
|0 PERI:(DE-600)2138944-5
|n 3
|p 033404 -
|t Journal of statistical mechanics: theory and experiment
|v 2017
|y 2017
|x 1742-5468
856 4 _ |u https://juser.fz-juelich.de/record/828448/files/Cao_2017_J._Stat._Mech._2017_033404.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/828448/files/Cao_2017_J._Stat._Mech._2017_033404.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:828448
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)132266
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)156196
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)132140
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 2017
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J STAT MECH-THEORY E : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21