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• W1603076295 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." @default.
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• W1603076295 date "2007-07-01" @default.
• W1603076295 modified "2023-09-30" @default.
• W1603076295 title "Traffic state prediction using Markov chain models" @default.
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• W1603076295 doi "https://doi.org/10.23919/ecc.2007.7069053" @default.
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