001     821213
005     20210129224843.0
037 _ _ |a FZJ-2016-06451
041 _ _ |a English
082 _ _ |a 380
100 1 _ |a Zhang, Jun
|0 P:(DE-Juel1)156196
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 8th International Conference on Pedestrian and Evacuation Dynamics
|g PED 2016
|c Hefei
|d 2016-10-17 - 2016-10-20
|w China
245 _ _ |a Properties of pedestrian movement at signalized crosswalk
260 _ _ |a Köln
|c 2016
|b Institut für Theoretische Physik
295 1 0 |a Proceedings of Pedestrian and Evacuation Dynamics 2016
300 _ _ |a 135-139
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|m journal
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 1517407429_28747
|2 PUB:(DE-HGF)
336 7 _ |a Contribution to a book
|0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
|m contb
520 _ _ |a Actual manuals and literature report different descriptions on the capacity of crosswalk. In this paper, pedestrian movement properties on signalized crosswalk is studied by carrying out series of experimentsunder laboratory condition. The influence of the directional split ratio in bidirectional streams on the capacity of crosswalk is investigated. It is found that the maximum reduction of the capacity occurs at directional splitratio of 0.5, which is different from the descriptions in High Capacity Manual (HCM) but agrees with the findings in [1]. However, the observed maximum flow is higher than that in previous studies. By comparing thefundamental diagrams among unidirectional flow, bidirectional flow in corridor and on crosswalk, significant differences are observed for rho> 2.0 m-2. Interestingly, the capacity of bidirectional flow on crosswalk is closeto unidirectional flow in corridor, which is higher than bidirectional flow in corridor.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
700 1 _ |a Cao, Shuchao
|0 P:(DE-Juel1)168116
|b 1
|u fzj
700 1 _ |a Seyfried, Armin
|0 P:(DE-Juel1)132266
|b 2
|u fzj
773 _ _ |0 PERI:(DE-600)2854776-7
|n A11
|p 1-618
|t Collective dynamics
|v 1
|y 2016
|x 2366-8539
909 C O |p VDB
|o oai:juser.fz-juelich.de:821213
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156196
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)168116
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 2016
915 _ _ |a No Authors Fulltext
|0 StatID:(DE-HGF)0550
|2 StatID
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a journal
980 _ _ |a contb
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21