Traffic data reconstruction based on Markov random field modeling

DOI10.1088/0266-5611/30/2/025003zbMath1292.90081arXiv1306.6482OpenAlexW2050592547MaRDI QIDQ5406754

Kazuyuki Tanaka, Muneki Yasuda, Cyril Furtlehner, Shun Kataoka

Publication date: 2 April 2014

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1306.6482

zbMATH Keywords

machine learningMarkov random fieldsGaussian graphical modelprobabilistic information processingtraffic data reconstruction

Mathematics Subject Classification ID

Discrete-time Markov processes on general state spaces (60J05) Traffic problems in operations research (90B20) Applications of queueing theory (congestion, allocation, storage, traffic, etc.) (60K30)

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