Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimation of Traffic Dynamics Models with Machine Learning Methods
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301). (Trafik och logistik)
2006 (English)In: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 1965, 103-111 p.Article in journal (Refereed) Published
Abstract [en]

Speed-density relationships are a classic way of modeling stationary traffic relationships. Besides offering valuable insight into traffic stream flows, such relationships are widely used in dynamic traffic assignment (DTA) systems. In this research, an alternative paradigm for traffic dynamics models, appropriate for traffic simulation models and based on machine-learning approaches such as k-means clustering, k-nearest-neighborhood classification, and locally weighted regression is proposed. Although these models may not provide as much insight into traffic flow theory as speed-density relationships do, they allow for easy incorporation of additional information to speed estimation and hence may be more appropriate for use in DTA models, especially simulation-based models. This paper (with data from a network in Irvine, California) demonstrates that such machine-learning methods can considerably improve the accuracy of speed estimation.

Place, publisher, year, edition, pages
2006. Vol. 1965, 103-111 p.
Keyword [en]
America, North America, United States, California, Case study, Regression, Density, Simulation model, Traffic assignment, Modeling, Speed, Learning, Dynamic model, Traffic flow, Road traffic
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-10886DOI: 10.3141/1965-11OAI: oai:DiVA.org:kth-10886DiVA: diva2:228397
Note
QC 20111011Available from: 2009-07-30 Created: 2009-07-30 Last updated: 2017-12-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Koutsopoulos, Haris N.
By organisation
Transport and Economics (closed 20110301)
In the same journal
Transportation Research Record
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 76 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf