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 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|