Analyzing highway flow patterns using cluster analysis

Wendy Weijermars, Eric C. van Berkum

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

56 Citations (Scopus)
232 Downloads (Pure)

Abstract

Historical traffic patterns can be used for the prediction of traffic flows, as input for macroscopic traffic models, for the imputation of missing or erroneous data and as a basis for traffic management scenarios. This paper investigates the determination of historical traffic patterns by means of Ward's hierarchical clustering procedure. Days were clustered before and after a pre-classification into working days and non-working days, using two different definitions of a daily traffic profile. The results of the clustering after preclassification are clearly better than before classification. Moreover, working days are easier to classify into distinctive, recurrent traffic patterns than non-working days. Finally, clustering on the basis of 15 minutes traffic flows resulted in a better classification of working days than the two-step clustering that used the total daily traffic flow, peak flows, peak times and ratios. The clustering on the basis of 15 minutes traffic flows resulted in a classification into five clusters that show distinct daily flow profiles and are representative for the days within the clusters. The day of the week and vacation periods are determinative for the cluster a working day is classified to.
Original languageUndefined
Title of host publicationITSC '05 - Proceedings of the 8th international IEEE conference on intelligent transportation systems, Vienna, Austria, 13-16 September 2005
EditorsR. Pfliegl
Place of PublicationVienna, Austria
PublisherIEEE
Pages831-836
ISBN (Print)0-7803-9216-7
DOIs
Publication statusPublished - 13 Sep 2005
Event8th international IEEE Conference on Intelligent Transportation Systems, ITSC 2005 - Vienna, Austria
Duration: 13 Sep 200516 Sep 2005
Conference number: 8

Publication series

Name
PublisherIEEE

Conference

Conference8th international IEEE Conference on Intelligent Transportation Systems, ITSC 2005
Abbreviated titleITSC
CountryAustria
CityVienna
Period13/09/0516/09/05

Keywords

  • IR-54970
  • METIS-229789

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