| Home > Publications database > Comparison of intersecting pedestrian flows based on experiments > print | 
| 001 | 151997 | ||
| 005 | 20210129213633.0 | ||
| 024 | 7 | _ | |a 10.1016/j.physa.2014.03.004 |2 doi  | 
| 024 | 7 | _ | |a WOS:000337854200032 |2 WOS  | 
| 024 | 7 | _ | |a altmetric:1967986 |2 altmetric  | 
| 037 | _ | _ | |a FZJ-2014-01821 | 
| 041 | _ | _ | |a English | 
| 082 | _ | _ | |a 500 | 
| 100 | 1 | _ | |a Zhang, Jun |0 P:(DE-Juel1)156196 |b 0 |e Corresponding Author |u fzj  | 
| 245 | _ | _ | |a Comparison of intersecting pedestrian flows based on experiments | 
| 260 | _ | _ | |a Amsterdam |c 2014 |b North Holland Publ. Co.  | 
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1396421701_15674 |2 PUB:(DE-HGF)  | 
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite  | 
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote  | 
| 336 | 7 | _ | |a ARTICLE |2 BibTeX  | 
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID  | 
| 336 | 7 | _ | |a article |2 DRIVER  | 
| 520 | _ | _ | |a Intersections of pedestrian flows feature multiple types, varying in the numbers of flow directions as well as intersecting angles. In this article results from intersecting flow experiments with two different intersecting angles are compared. To analyze the transport capabilities the Voronoi method is used to resolve the fine structure of the resulting velocity–density relations and spatial dependence of the measurements. The fundamental diagrams of various flow types are compared and show no apparent difference with respect to the intersecting angle 90° and 180°. This result indicates that head-on conflicts of different types of flow have the same influence on the transport properties of the system, which demonstrates the high self-organization capabilities of pedestrians. | 
| 536 | _ | _ | |a 411 - Computational Science and Mathematical Methods (POF2-411) |0 G:(DE-HGF)POF2-411 |c POF2-411 |f POF II |x 0  | 
| 700 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 1 |u fzj  | 
| 773 | _ | _ | |a 10.1016/j.physa.2014.03.004 |0 PERI:(DE-600)1466577-3 |p 316–325 |t Physica / A |v 405 |y 2014 |x 0378-4371  | 
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/151997/files/FZJ-2014-01821.pdf |y Restricted  | 
| 909 | C | O | |o oai:juser.fz-juelich.de:151997 |p VDB  | 
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)156196  | 
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132266  | 
| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |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  | 
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| 914 | 1 | _ | |y 2014 | 
| 915 | _ | _ | |a JCR/ISI refereed |0 StatID:(DE-HGF)0010 |2 StatID  | 
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID  | 
| 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 DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection  | 
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List  | 
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| 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)1040 |2 StatID |b Zoological Record  | 
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| 980 | _ | _ | |a UNRESTRICTED | 
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