Experimental Analysis of Two-Dimensional Pedestrian Flow in Front of the Bottleneck

Marek Bukáček (), Pavel Hrabák () and Milan Krbálek ()
Additional contact information
Marek Bukáček: Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
Pavel Hrabák: Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
Milan Krbálek: Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering

A chapter in Traffic and Granular Flow '13, 2015, pp 93-101 from Springer

Abstract: Abstract This contribution presents an experimental study of two-dimensional pedestrian flow with the aim to capture the pedestrian behaviour within the cluster formed in front of the bottleneck. Two experiments of passing through a room with one entrance and one exit were arranged according to phase transition study in Ezaki and Yanagisawa (Metastability in pedestrian evacuation. In: Cellular automata, ed. by G. Sirakoulis, S. Bandini. LNCS, vol 7495. Springer, Berlin/Heidelberg, pp 776–784, 2012), the inflow rate was regulated to obtain different walking modes. By means of automatic image processing, pedestrians’ paths are extracted from camera recordings to get actual velocity and local density. Macroscopic information is extracted by means of a virtual detector and leaving times of pedestrians. The pedestrian’s behaviour is evaluated by means of density and velocity. Different approaches of measurement are compared using several fundamental diagrams. Two phases of crowd behaviour have been recognized and the phase transition is described.

Keywords: Inflow Rate; Voronoi Cell; Specific Flow; Congested State; Crowd Behaviour (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10629-8_11

Ordering information: This item can be ordered from
http://www.springer.com/9783319106298

DOI: 10.1007/978-3-319-10629-8_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().