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001     9818
005     20210129210508.0
024 7 _ |2 DOI
|a 10.1016/j.physa.2009.12.015
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|a WOS:000275613800013
024 7 _ |a altmetric:3168668
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037 _ _ |a PreJuSER-9818
041 _ _ |a eng
082 _ _ |a 500
084 _ _ |2 WoS
|a Physics, Multidisciplinary
100 1 _ |0 P:(DE-Juel1)132269
|a Steffen, B.
|b 0
|u FZJ
245 _ _ |a Methods for measuring pedestrian density, flow, speed and direction with minimal scatter
260 _ _ |a Amsterdam
|b North Holland Publ. Co.
|c 2010
300 _ _ |a 1902 - 1910
336 7 _ |a Journal Article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |0 4906
|a Physica A
|v 389
|x 0378-4371
|y 9
500 _ _ |a The experiments are supported by the DFG under grant KL 1873/1-1 and SE 1789/1-1. We thank M. Boltes for his support in preparation of videos for analysis.
520 _ _ |a The progress of image processing during recent years allows the measurement of pedestrian characteristics on a "microscopic" scale with low costs. However, density and flow are concepts of fluid mechanics defined for the limit of infinitely many particles. Standard methods of measuring these quantities locally (e.g. counting heads within a rectangle) suffer from large data scatter. The remedy of averaging over large spaces or long times reduces the possible resolution and inhibits the gain obtained by the new technologies.In this contribution we introduce a concept for measuring microscopic characteristics on the basis of pedestrian trajectories. Assigning a personal space to every pedestrian via a Voronoi diagram reduces the density scatter. Similarly, calculating direction and speed from position differences between times with identical phases of movement gives low-scatter sequences for speed and direction. Finally we discuss the methods to obtain reliable values for derived quantities and new possibilities of an in-depth analysis of experiments. The resolution obtained indicates the limits of stationary state theory. (C) 2009 Elsevier B.V. All rights reserved.
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588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a Video tracking
653 2 0 |2 Author
|a Voronoi diagram
653 2 0 |2 Author
|a Pedestrian modeling
653 2 0 |2 Author
|a Velocity measurement
653 2 0 |2 Author
|a Pedestrian density
700 1 _ |0 P:(DE-Juel1)132266
|a Seyfried, A.
|b 1
|u FZJ
773 _ _ |0 PERI:(DE-600)1466577-3
|a 10.1016/j.physa.2009.12.015
|g Vol. 389, p. 1902 - 1910
|p 1902 - 1910
|q 389<1902 - 1910
|t Physica / A
|v 389
|x 0378-4371
|y 2010
856 7 _ |u http://dx.doi.org/10.1016/j.physa.2009.12.015
909 C O |o oai:juser.fz-juelich.de:9818
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914 1 _ |y 2010
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|a JCR/ISI refereed
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