Classifying of Day-to-Day Variation of Traffic Flow with Cluster Analysis

This study shows a method to classify day-to-day variation of traffic flow pattern of urban expressways considering time-series change of traffic. Time-series change of traffic flow should be taken into account to consider more precise policies on highways because many issues on highway traffic, such as traffic congestion, depend on time axis. This study applies a cluster analysis method to classify traffic flow pattern of more than 100 days measured by detectors into a couple of groups. These groups are examined and some major factors of day-to-day traffic flow change at study sections are revealed.

  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Iryo, Takamasa
    • Iwatani, Airi
    • Asakura, Yasuo
  • Conference:
  • Publication Date: 2005

Language

  • English

Media Info

  • Media Type: Print
  • Features: CD-ROM; Figures; References; Tables;
  • Pagination: 11p
  • Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01016229
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 6 2005 12:55PM