Scale-Free Features in the Observed Traffic Flow

Sin-ichi Tadaki, Macoto Kikuchi, Akihiro Nakayama, Katsuhiro Nishinari, Akihiro Shibata, Yuki Sugiyama and Satoshi Yukawa
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Sin-ichi Tadaki: Saga University, Computer and Network Center
Macoto Kikuchi: Osaka University, Cybermedia Center
Akihiro Nakayama: University of Ryukyus, Department of Physics and Earth Sciences
Katsuhiro Nishinari: University of Tokyo, Department of Aeronautics and Astronautics
Akihiro Shibata: KEK, Computing Research Center
Yuki Sugiyama: Nagoya University, Graduate School of Information Science
Satoshi Yukawa: University of Tokyo, Department of Applied Physics

A chapter in Traffic and Granular Flow’05, 2007, pp 709-715 from Springer

Abstract: Summary Scale-free features in traffic flow are discussed based on observed data. The observed traffic flow is known to contain some periodic motions reflecting our social activities. By employing the DFA (Detrended Fluctuation Analysis) method, the traffic flow can be shown to exhibit daily periodic oscillations with scale-free fluctuations.

Keywords: Traffic Flow; Time Sequence; Detrended Fluctuation Analysis; Granular Flow; Segment Size (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47641-2_69

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DOI: 10.1007/978-3-540-47641-2_69

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