EconPapers    
Economics at your fingertips  
 

Modelling Stride Length and Stepping Frequency

Isabella von Sivers (), Gerta Köster () and Benedikt Kleinmeier ()
Additional contact information
Isabella von Sivers: Munich University of Applied Sciences
Gerta Köster: Munich University of Applied Sciences
Benedikt Kleinmeier: Munich University of Applied Sciences

A chapter in Traffic and Granular Flow '15, 2016, pp 113-119 from Springer

Abstract: Abstract A pedestrianVon Sivers, Isabella motionKöster, Gerta model must be calibratedKleinmeier, Benedikt to measured data and validated against observations to achieve predictive power for the simulations. The relationship between the speed of pedestrians and the density of a crowd or the flow through bottlenecks are widely accepted as important characteristics of pedestrian movement. They are often used for calibration and validation. Other crucial characteristics of pedestrian movement have been discussed in recent studies. Two of these are the correlations between stride length and speed as well as between stepping frequency and speed. We show that one can reproduce these dependencies as measured in the experiments with the Optimal Steps Model (OSM), which captures stepping behaviour of pedestrians.

Keywords: Stride Length; Optimal Steps Model (OSM); Pedestrian Movement; Stepping Behaviour; Stride Duration (search for similar items in EconPapers)
Date: 2016
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:978-3-319-33482-0_15

Ordering information: This item can be ordered from
http://www.springer.com/9783319334820

DOI: 10.1007/978-3-319-33482-0_15

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 ().

 
Page updated 2025-12-08
Handle: RePEc:spr:sprchp:978-3-319-33482-0_15