Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hanshin Expressway Company (2008) http://www.hanshin-exp.co.jp/company/torikumi/basedata/index.html. Accessed 3 March 2008 (in Japanese)
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, Geneva
International Standards Office (2008) ISO 11664-4:2008. Colorimetry – Part 4: CIE 1976 L*a*b* Colour space. ISO, Geneva
Keim DA (2000) Designing pixel-oriented visualization techniques: theory and applications. IEEE Trans Vis Comput Graph 6:59–78
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 679–687
Acknowledgments
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Kusakabe, T., Iryo, T., Asakura, Y. (2010). Data Mining for Traffic Flow Analysis: Visualization Approach. In: Barceló, J., Kuwahara, M. (eds) Traffic Data Collection and its Standardization. International Series in Operations Research & Management Science, vol 144. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6070-2_5
Download citation
DOI: https://doi.org/10.1007/978-1-4419-6070-2_5
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-6069-6
Online ISBN: 978-1-4419-6070-2
eBook Packages: Business and EconomicsBusiness and Management (R0)