2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) 2017
DOI: 10.1109/itsc.2017.8317783
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Estimating travel time distributions using copula graphical lasso

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Cited by 5 publications
(2 citation statements)
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“…Graphical models are one the most promising approaches for travel time distribution estimation [9,32,33,39]. Guo et al [40] employ Gaussian mixtures to model multistate travel time distributions.…”
Section: Travel Time Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…Graphical models are one the most promising approaches for travel time distribution estimation [9,32,33,39]. Guo et al [40] employ Gaussian mixtures to model multistate travel time distributions.…”
Section: Travel Time Estimationmentioning
confidence: 99%
“…In Section III we offer concluding remarks and ideas for future research. The work described in this Chapter is published as [39,106].…”
Section: Estimation From Sparse Gps Datamentioning
confidence: 99%