Toward Smooth Movement of Crowds
Katsuhiro Nishinari,
Yushi Suma,
Daichi Yanagisawa,
Akiyasu Tomoeda,
Ayako Kimura and
Ryousuke Nishi ()
Additional contact information
Katsuhiro Nishinari: The University of Tokyo, Faculty of Engineering
Yushi Suma: The University of Tokyo, Faculty of Engineering
Daichi Yanagisawa: The University of Tokyo, Faculty of Engineering
Akiyasu Tomoeda: The University of Tokyo, Faculty of Engineering
Ayako Kimura: The University of Tokyo, Faculty of Engineering
Ryousuke Nishi: The University of Tokyo, Faculty of Engineering
A chapter in Pedestrian and Evacuation Dynamics 2008, 2010, pp 293-308 from Springer
Abstract:
Summary “Jamology” is an interdisciplinary research of all sorts of jams, e.g. those of vehicles, pedestrians, ants, etc. Our model of pedestrians, called the floor field model, is based on this study, and it is a two-dimensional generalization of an ant trail model. It is a rule-based cellular automaton model, and efficient in computations since the long-range interaction between pedestrians is imitated by the memory of the floor of only neighboring cells. Recently several generalizations of this model are proposed to make the model more realistic. We use an extended model to study how to make crowd movement smooth. Not only computer simulations but also experiments are shown in this paper. Introduction of pedestrians’ anticipation into the model affects the crowd movement significantly, and leads the counterflow smooth. Moreover it is clearly shown experimentally that evacuation dynamics near a bottleneck becomes smooth if we put an obstacle at a suitable place.
Keywords: Cellular Automaton; Evacuation Time; Visibility Graph; Smooth Movement; Wall Potential (search for similar items in EconPapers)
Date: 2010
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:978-3-642-04504-2_26
Ordering information: This item can be ordered from
http://www.springer.com/9783642045042
DOI: 10.1007/978-3-642-04504-2_26
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 ().