001     846010
005     20230217124403.0
024 7 _ |a 10.1103/PhysRevE.97.052127
|2 doi
024 7 _ |a 1063-651X
|2 ISSN
024 7 _ |a 1095-3787
|2 ISSN
024 7 _ |a 1539-3755
|2 ISSN
024 7 _ |a 1550-2376
|2 ISSN
024 7 _ |a 2470-0045
|2 ISSN
024 7 _ |a 2470-0053
|2 ISSN
024 7 _ |a 2128/18786
|2 Handle
024 7 _ |a pmid:29906901
|2 pmid
024 7 _ |a WOS:000433029300003
|2 WOS
024 7 _ |a altmetric:40690858
|2 altmetric
037 _ _ |a FZJ-2018-03180
082 _ _ |a 530
100 1 _ |a Xiao, Yao
|0 P:(DE-Juel1)171459
|b 0
245 _ _ |a Investigation of Voronoi diagram based direction choices using uni- and bi-directional trajectory data
260 _ _ |a Woodbury, NY
|c 2018
|b Inst.
264 _ 1 |3 online
|2 Crossref
|b American Physical Society (APS)
|c 2018-05-18
264 _ 1 |3 print
|2 Crossref
|b American Physical Society (APS)
|c 2018-05-01
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 1528122828_29030
|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 In a crowd, individuals make different motion choices such as “moving to destination,” “following another pedestrian,” and “making a detour.” For the sake of convenience, the three direction choices are respectively called destination direction, following direction, and detour direction in this paper. Here, it is found that the featured direction choices could be inspired by the shape characteristics of the Voronoi diagram. To be specific, in the Voronoi cell of a pedestrian, the direction to a Voronoi node is regarded as a potential “detour” direction and the direction perpendicular to a Voronoi link is regarded as a potential “following” direction. A pedestrian generally owns several alternative Voronoi nodes and Voronoi links in a Voronoi cell, and the optimal detour and following direction are determined by considering related factors such as deviation. Plus the destination direction which is directly pointing to the destination, the three basic direction choices are defined in a Voronoi cell. In order to evaluate the Voronoi diagram based basic directions, the empirical trajectory data in both uni- and bi-directional flow experiments are extracted. A time series method considering the step frequency is used to reduce the original trajectories' swaying phenomena which might disturb the recognition of actual forward direction. The deviations between the empirical velocity direction and the basic directions are investigated, and each velocity direction is classified into a basic direction or regarded as an inexplicable direction according to the deviations. The analysis results show that each basic direction could be a potential direction choice for a pedestrian. The combination of the three basic directions could cover most empirical velocity direction choices in both uni- and bi-directional flow experiments.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
542 _ _ |i 2018-05-18
|2 Crossref
|u https://link.aps.org/licenses/aps-default-license
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Chraibi, Mohcine
|0 P:(DE-Juel1)132077
|b 1
700 1 _ |a Qu, Yunchao
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Tordeux, Antoine
|0 P:(DE-Juel1)159135
|b 3
700 1 _ |a Gao, Ziyou
|0 P:(DE-HGF)0
|b 4
|e Corresponding author
773 1 8 |a 10.1103/physreve.97.052127
|b American Physical Society (APS)
|d 2018-05-18
|n 5
|p 052127
|3 journal-article
|2 Crossref
|t Physical Review E
|v 97
|y 2018
|x 2470-0045
773 _ _ |a 10.1103/PhysRevE.97.052127
|g Vol. 97, no. 5, p. 052127
|0 PERI:(DE-600)2844562-4
|n 5
|p 052127
|t Physical review / E
|v 97
|y 2018
|x 2470-0045
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/846010/files/1805.01324.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/846010/files/PhysRevE.97.052127.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/846010/files/1805.01324.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/846010/files/1805.01324.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/846010/files/1805.01324.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/846010/files/1805.01324.jpg?subformat=icon-640
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/846010/files/PhysRevE.97.052127.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/846010/files/PhysRevE.97.052127.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/846010/files/PhysRevE.97.052127.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/846010/files/PhysRevE.97.052127.jpg?subformat=icon-640
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/846010/files/PhysRevE.97.052127.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:846010
|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 1
|6 P:(DE-Juel1)132077
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 2018
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a American Physical Society Transfer of Copyright Agreement
|0 LIC:(DE-HGF)APS-112012
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b PHYS REV E : 2015
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
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
999 C 5 |1 A. Schadschneider
|y 2009
|2 Crossref
|t Encyclopedia of Complexity and Systems Science
|o A. Schadschneider Encyclopedia of Complexity and Systems Science 2009
999 C 5 |a 10.1103/PhysRevE.51.4282
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1103/PhysRevE.82.046111
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1016/S0191-2615(99)00052-1
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1103/PhysRevE.85.066128
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |1 G. Gigerenzer
|y 1999
|2 Crossref
|t Simple Heuristics That Make Us Smart
|o G. Gigerenzer Simple Heuristics That Make Us Smart 1999
999 C 5 |a 10.1016/j.trb.2005.09.006
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1098/rsif.2016.0439
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1515/crll.1908.134.198
|9 -- missing cx lookup --
|1 G. Voronoï
|p 198 -
|2 Crossref
|t J. Reine Angew. Math.
|v 134
|y 1908
999 C 5 |a 10.1145/116873.116880
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1016/j.physa.2009.12.015
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1088/1742-5468/2011/06/P06004
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1016/j.trc.2016.05.012
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1002/wcm.384
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |1 N. A. B. Ab Aziz
|y 2009
|2 Crossref
|t International Conference on Networking, Sensing and Control, 2009, ICNSC'09
|o N. A. B. Ab Aziz International Conference on Networking, Sensing and Control, 2009, ICNSC'09 2009
999 C 5 |a 10.1007/s11538-009-9498-3
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |1 L. Liao
|y 2003
|2 Crossref
|t Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2003
|o L. Liao Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2003 2003
999 C 5 |a 10.1109/MRA.2008.921540
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |1 S. Garrido
|y 2006
|2 Crossref
|t IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
|o S. Garrido IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006 2006
999 C 5 |a 10.17815/CD.2016.4
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1038/40266
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1068/b12850
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1016/j.cub.2009.07.057
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1088/1742-5468/2012/02/P02002
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1287/trsc.1040.0102
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.5081/jgps.3.1.273
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1080/00140136608964399
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1038/srep07324
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1103/PhysRevE.86.026118
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1016/j.trb.2012.01.002
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |a 10.1016/j.physa.2015.08.002
|9 -- missing cx lookup --
|2 Crossref
999 C 5 |1 A. Tordeux
|y 2016
|2 Crossref
|t Traffic and Granular Flow'15
|o A. Tordeux Traffic and Granular Flow'15 2016
999 C 5 |a 10.1073/pnas.1016507108
|9 -- missing cx lookup --
|2 Crossref


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21