Inter-urban short-term traffic congestion prediction

Giovanni Huisken

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

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Abstract

The main aim of Dynamic Traffic Management is efficient and effective use of the existing traffic infrastructure network. To reach this goal, traffic operators take measures, based on the current traffic situation, control schemes and information services at hand, that (try to) influence and distribute traffic in such a manner that it makes optimal use of the present road infrastructure. In this dissertation, the performances of models that were developed to produce accurate congestion prediction are compared. The prediction horizon is short-term period of 5, 10, 15, 20, 25, or 30 minutes. All assessed models are based on data driven methods.
Original languageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • van Maarseveen, Martin, Supervisor
Award date1 Dec 2006
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-2441-4
Publication statusPublished - 2006

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Traffic congestion
Traffic control
Information services

Keywords

  • IR-57639

Cite this

Huisken, G. (2006). Inter-urban short-term traffic congestion prediction. Enschede: University of Twente.
Huisken, Giovanni. / Inter-urban short-term traffic congestion prediction. Enschede : University of Twente, 2006. 272 p.
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Huisken, G 2006, 'Inter-urban short-term traffic congestion prediction', University of Twente, Enschede.

Inter-urban short-term traffic congestion prediction. / Huisken, Giovanni.

Enschede : University of Twente, 2006. 272 p.

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

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Huisken G. Inter-urban short-term traffic congestion prediction. Enschede: University of Twente, 2006. 272 p.