001     16126
005     20210129210636.0
024 7 _ |2 DOI
|a 10.1088/1742-5468/2011/06/P06004
024 7 _ |2 WOS
|a WOS:000292252400005
037 _ _ |a PreJuSER-16126
041 _ _ |a eng
082 _ _ |a 530
084 _ _ |2 WoS
|a Mechanics
084 _ _ |2 WoS
|a Physics, Mathematical
100 1 _ |a Zhang, J.
|0 P:(DE-Juel1)156196
|b 0
245 _ _ |a Transitions in pedestrian fundamental diagrams of straight corridors and T-junctions
260 _ _ |a Bristol
|b IOP Publ.
|c 2011
300 _ _ |a P06004
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Journal of Statistical Mechanics : Theory and Experiment
|x 1742-5468
|0 13281
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Many observations of pedestrian dynamics, including various self-organization phenomena, have been reproduced successfully by different models. But the empirical databases for quantitative calibration are still insufficient, e. g. the fundamental diagram as one of the most important relationships displays non-negligible differences among various studies. To improve this situation, experiments in straight corridors and T-junctions are performed. Four different measurement methods are defined to study their effects on the fundamental diagram. It is shown that they have minor influences for rho < 3.5 m(-2) but only the Voronoi method is able to resolve the fine structure of the fundamental diagram. This enhanced measurement method permits us to observe the occurrence of a boundary-induced phase transition. For corridors of different widths we found that the specific flow concept works well for rho < 3.5 m(-2). Moreover, we illustrate the discrepancies between the fundamental diagrams of a T-junction and a straight corridor.
536 _ _ |2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK411
|x 0
|c FUEK411
|a Scientific Computing (FUEK411)
536 _ _ |a 411 - Computational Science and Mathematical Methods (POF2-411)
|0 G:(DE-HGF)POF2-411
|c POF2-411
|x 1
|f POF II
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a traffic and crowd dynamics
700 1 _ |a Klingsch, W.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Schadschneider, A.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Seyfried, A.
|0 P:(DE-Juel1)132266
|b 3
|u FZJ
773 _ _ |a 10.1088/1742-5468/2011/06/P06004
|g p. P06004
|p P06004
|q P06004
|0 PERI:(DE-600)2138944-5
|t Journal of statistical mechanics: theory and experiment
|y 2011
|x 1742-5468
856 7 _ |u http://dx.doi.org/10.1088/1742-5468/2011/06/P06004
909 C O |o oai:juser.fz-juelich.de:16126
|p VDB
913 2 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|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
913 1 _ |a DE-HGF
|b Schlüsseltechnologien
|l Supercomputing
|1 G:(DE-HGF)POF2-410
|0 G:(DE-HGF)POF2-411
|2 G:(DE-HGF)POF2-400
|v Computational Science and Mathematical Methods
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF2
914 1 _ |y 2011
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k JSC
|l Jülich Supercomputing Centre
|g JSC
|0 I:(DE-Juel1)JSC-20090406
|x 0
970 _ _ |a VDB:(DE-Juel1)129821
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21