Fluctuation in Expressway Traffic Flow

S. Tadaki (), M. Kikuchi, A. Nakayama, K. Nishinari, A. Shibata, Y. Sugiyama and S. Yukawa
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S. Tadaki: Saga University, Computer and Network Center
M. Kikuchi: Osaka University, Cybermedia Center
A. Nakayama: Gifu Keizai University, Department of Administrative Information Sciences
K. Nishinari: Ryukoku University, Department of Applied Mathematics and Infomatics
A. Shibata: High Energy Accelerator Research Organization (KEK), Computing Research Center
Y. Sugiyama: Nagoya University, Graduate School of Information Science
S. Yukawa: University of Tokyo, Department of Applied Physics

A chapter in Traffic and Granular Flow ’03, 2005, pp 59-65 from Springer

Abstract: Summary The temporal data of the expressway traffic data are complex mixtures of various time scales. The periodic appearances of the congestion, for example, reflect social activities. We need some filters to extract proper fluctuations from the raw data. We employ the method of detrended fluctuation analysis for studying the time sequence of the traffic flow. We find the long-range correlation from 1 hour to 24 hours.

Keywords: Traffic Flow; Observation; Detrended Fluctuation Analysis (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1007/3-540-28091-X_5

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