Data Mining for Traffic Flow Analysis: Visualization Approach

  • Takahiko KusakabeEmail author
  • Takamasa Iryo
  • Yasuo Asakura
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 144)


Data mining has attracted considerable attention as a method that can be used to discover certain characteristics from large amounts of data. In traffic flow analysis, a large amount of traffic flow data is continuously collected and stored over several years.


Traffic Flow Traffic Volume Unknown Characteristic Electronic Toll Collection Traffic Flow Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The traffic detector data was provided by the Hanshin Expressway Company and the Metropolitan Expressway Company. This study was partly supported by the JSPS Grant-in-Aid #17656163.


  1. Hanshin Expressway Company (2008) Accessed 3 March 2008 (in Japanese)
  2. International Electrotechnical Commission (1999) EC 61966-2-1 Ed. 1.0:1999 (b), Multimedia systems and equipment – Colour measurement and management – Part 2-1: Colour management – Default RGB colour space – sRGB. IEC, GenevaGoogle Scholar
  3. International Standards Office (2008) ISO 11664-4:2008. Colorimetry – Part 4: CIE 1976 L*a*b* Colour space. ISO, GenevaGoogle Scholar
  4. Keim DA (2000) Designing pixel-oriented visualization techniques: theory and applications. IEEE Trans Vis Comput Graph 6:59–78CrossRefGoogle Scholar
  5. Kusakabe T, Iryo T, Asakura Y (2006) Capacity reduction and its seasonal change at a bottleneck on an urban expressway during sunset. In: Proceedings of the 11th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China, pp 679–687Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.JSPS Research Fellow, Graduate School of EngineeringKobe UniversityNadaJapan

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