Long-Term Traffic Data from Japanese Expressway

M. Kikuchi, A. Nakayama, K. Nishinari, Y. Sugiyama, S. Tadaki and S. Yukawa
Additional contact information
M. Kikuchi: Osaka University, Cybermedia Center
A. Nakayama: Gifu Keizai University
K. Nishinari: Ryukoku University, Department of Applied Mathematics and Informatics
Y. Sugiyama: City College of Mie, Division of Mathematical Science
S. Tadaki: Saga University, Computer and Network Center
S. Yukawa: University of Tokyo, Department of Applied Physics

A chapter in Traffic and Granular Flow’01, 2003, pp 257-262 from Springer

Abstract: Abstract Recent development of physics-based mathematical modelling of highway traffic has brought us to a new stage of research. For example, reproduction of overall shape of the q-k diagram, which itself has once been a big challenge, is now one of the least requirements that any good model should achieve. The interest for physicists has been shifted to deeper understanding of traffic behavior such as details of the instability near the capacity and spatio-temporal structures of traffic jams Understanding them is, without doubt, important also for traffic controls in future.

Keywords: Power Spectrum; Traffic Flow; Traffic Data; Consecutive Point; Highway Traffic (search for similar items in EconPapers)
Date: 2003
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:978-3-662-10583-2_24

Ordering information: This item can be ordered from
http://www.springer.com/9783662105832

DOI: 10.1007/978-3-662-10583-2_24

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 ().