001     866636
005     20210130003548.0
024 7 _ |a 10.1016/j.physa.2019.122461
|2 doi
024 7 _ |a 0378-4371
|2 ISSN
024 7 _ |a 1873-2119
|2 ISSN
024 7 _ |a 2128/23444
|2 Handle
024 7 _ |a WOS:000500034900013
|2 WOS
037 _ _ |a FZJ-2019-05715
082 _ _ |a 500
100 1 _ |a Huang, Zhongyi
|0 P:(DE-HGF)0
|b 0
245 _ _ |a A microscopic method for the evaluating of continuous pedestrian dynamic models
260 _ _ |a Amsterdam
|c 2019
|b North Holland Publ. Co.
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 1574349827_16100
|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 this paper, we propose a microscopic method to evaluate continuous pedestrian dynamic models at the trajectory level. By comparing the experimental and the simulated trajectory in four directions, the evaluation of the model can be described by a radar chart, with which both qualitative and quantitative conclusions can be obtained. In order to demonstrate our method, we evaluate a social force model by 1,936 trajectories with graded densities in three different scenarios. Three qualitative conclusions are obtained by observing radar charts of the simulation of the unidirectional experiments. All of them are verified by the comparison of the macroscopic parameters. Besides, we find that a model with smaller error in our method always has a better performance at the macroscopic level. At last, the possible quantitative descriptions of the method are discussed. Compared to the evaluations by comparing collective features like fundamental diagram, our method is general, comprehensive and quantitative. The method provides a new possibility to evaluate any continuous pedestrian dynamic model in any scenario with a standard process.
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 Chraibi, Mohcine
|0 P:(DE-Juel1)132077
|b 1
700 1 _ |a Cao, Shuchao
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Huang, Chuanli
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Fang, Zhiming
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Song, Weiguo
|0 P:(DE-HGF)0
|b 5
|e Corresponding author
773 _ _ |a 10.1016/j.physa.2019.122461
|g Vol. 536, p. 122461 -
|0 PERI:(DE-600)1466577-3
|p 122461 -
|t Physica / A Statistical mechanics and its applications A
|v 536
|y 2019
|x 0378-4371
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/866636/files/huang2019.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/866636/files/huang2019.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:866636
|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 2019
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 JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b PHYSICA A : 2017
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 DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics 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


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21