Effect of Rhythm on Pedestrian Flow

Daichi Yanagisawa (), Akiyasu Tomoeda () and Katsuhiro Nishinari ()
Additional contact information
Daichi Yanagisawa: Ibaraki University, College of Science
Akiyasu Tomoeda: Meiji University, Meiji Institute for Advanced Study of Mathematical Sciences
Katsuhiro Nishinari: The University of Tokyo, Research Center for Advanced Science and Technology

A chapter in Traffic and Granular Flow '11, 2013, pp 187-196 from Springer

Abstract: Abstract We have calculated a fundamental diagram of pedestrians by dividing the velocity term into two parts, length of stride and pace of walking (number of steps per unit time). In spite of the simplicity of the calculation, our fundamental diagram reproduces that of traffic and pedestrian dynamics models in special cases. Theoretical analysis on pace indicates that rhythm which is slower than normal walking pace in free-flow situation increases flow if the fundamental diagram of flow is convex downward in high-density regime. In order to verify this result, we have performed the experiment by real pedestrians and observed improvement of pedestrian flow in congested situation by slow rhythm. Since slow rhythm achieves large pedestrian flow without dangerous haste, it may be a safety solution to attain smooth movement of pedestrians in congested situation.

Keywords: Pedestrian Flow; Fundamental Diagram; High Density Regime; Normal Walking Pace; Pedestrian Dynamics (search for similar items in EconPapers)
Date: 2013
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:978-3-642-39669-4_19

Ordering information: This item can be ordered from
http://www.springer.com/9783642396694

DOI: 10.1007/978-3-642-39669-4_19

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 ().