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| Hauptseite > Publikationsdatenbank > Data archive for exploring pedestrian dynamics and its application in dimensioning of facilities for multidirectional streams > print |
| Hauptseite > Publikationsdatenbank > Data archive for exploring pedestrian dynamics and its application in dimensioning of facilities for multidirectional streams > print |
| 001 | 874883 | ||
| 005 | 20210130004818.0 | ||
| 024 | 7 | _ | |a 10.17815/CD.2020.28 |2 doi |
| 024 | 7 | _ | |a 2128/24641 |2 Handle |
| 037 | _ | _ | |a FZJ-2020-01682 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 380 |
| 100 | 1 | _ | |a Boltes, Maik |0 P:(DE-Juel1)132064 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Proceedings of Pedestrian and Evacuation Dynamics 2018 |g PED18 |c Lund |d 2018-08-21 - 2018-08-23 |w Sweden |
| 245 | _ | _ | |a Data archive for exploring pedestrian dynamics and its application in dimensioning of facilities for multidirectional streams |
| 260 | _ | _ | |a Jülich |c 2020 |b Forschungszentrum Jülich |
| 300 | _ | _ | |a 17-24 |
| 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 1585912752_29482 |2 PUB:(DE-HGF) |
| 520 | _ | _ | |a In this paper an overview of an open data archive with data from experiments investigating pedestrian dynamics is presented. As an example of the use of this data the analysis of recently published data about the capacity of crossings is shown. |
| 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 Holl, Stefan |0 P:(DE-Juel1)132140 |b 1 |
| 700 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 2 |
| 773 | _ | _ | |a 10.17815/CD.2020.28 |g Vol. 5, p. A28 |0 PERI:(DE-600)2854776-7 |p A28 |t Collective dynamics |v 5 |y 2020 |x 2366-8539 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/874883/files/50-394-1-PB.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/874883/files/50-394-1-PB.pdf?subformat=pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:874883 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
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| 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 2020 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
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