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Online map-matching based on Hidden Markov model for real-time traffic sensing applications.

, , , , , and . ITSC, page 776-781. IEEE, (2012)

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Data compression techniques for urban traffic data., , , and . CIVTS, page 44-49. IEEE, (2013)Dynamic Prediction of the Incident Duration Using Adaptive Feature Set., , , , and . IEEE Trans. Intell. Transp. Syst., 20 (11): 4019-4031 (2019)Denoising autoencoders for fast real-time traffic estimation on urban road networks., , and . CDC, page 6307-6312. IEEE, (2017)Near-Lossless Compression for Large Traffic Networks., , , , and . IEEE Trans. Intell. Transp. Syst., 16 (4): 1817-1826 (2015)Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction., , , , , , , , and . IEEE Trans. Intell. Transp. Syst., 15 (2): 794-804 (2014)Compressed prediction of large-scale urban traffic., , , and . ICASSP, page 5984-5988. IEEE, (2014)Low-dimensional models for missing data imputation in road networks., , , , and . ICASSP, page 3527-3531. IEEE, (2013)Travel Time Estimation Using Speed Predictions., , , , and . ITSC, page 2256-2261. IEEE, (2015)Online map-matching based on Hidden Markov model for real-time traffic sensing applications., , , , , and . ITSC, page 776-781. IEEE, (2012)CUR decomposition for compression and compressed sensing of large-scale traffic data., , , , and . ITSC, page 1475-1480. IEEE, (2013)