Classifying of day-to-day variation of traffic flow with cluster analysis

Takamasa Iryo, Airi Iwatani, Yasuo Asakura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study shows a method to classify day-to-day variation of traffic flow pattern of urbanexpressways 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 appliesa cluster analysis method to classify traffic flow pattern of more than 100 days measured by detectorsinto a couple of groups. These groups are examined and some major factors of dayto-day trafficflow change at study sections are revealed.

Original languageEnglish
Title of host publicationIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
Pages4822-4832
Number of pages11
Publication statusPublished - 2009
Externally publishedYes
Event12th World Congress on Intelligent Transport Systems 2005 - San Francisco, CA, United States
Duration: 2005 Nov 62005 Nov 10

Publication series

NameIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
Volume8

Other

Other12th World Congress on Intelligent Transport Systems 2005
Country/TerritoryUnited States
CitySan Francisco, CA
Period05/11/605/11/10

Keywords

  • Cluster analysis
  • Traffic detectors
  • Urban expressways

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

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