Traffic state prediction using Markov chain models

Constantinos Antoniou, Haris N. Koutsopoulos, George Yannis

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

12 Scopus citations

Abstract

Motorway traffic management and control relies on models that estimate and predict traffic conditions. In this paper, a methodology for the identification and short-term prediction of the traffic state is presented. The methodology combines model-based clustering, variable-length Markov chains and nearest neighbor classification. An application of the methodology for short-term speed prediction in a freeway network in Irvine, CA, shows encouraging results.

Original languageEnglish
Title of host publication2007 European Control Conference, ECC 2007
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2428-2435
Number of pages8
ISBN (Electronic)9783952417386
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 9th European Control Conference, ECC 2007 - Kos, Greece
Duration: 2 Jul 20075 Jul 2007

Publication series

Name2007 European Control Conference, ECC 2007

Conference

Conference2007 9th European Control Conference, ECC 2007
Country/TerritoryGreece
CityKos
Period2/07/075/07/07

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