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Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network.

, , , and . IEEE Trans. Intell. Transp. Syst., 13 (4): 1679-1693 (2012)

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Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network., , , and . IEEE Trans. Intell. Transp. Syst., 13 (4): 1679-1693 (2012)Online Homotopy Algorithm for a Generalization of the LASSO., , , and . IEEE Trans. Autom. Control., 58 (12): 3175-3179 (2013)Estimating arterial traffic conditions using sparse probe data., , , and . ITSC, page 929-936. IEEE, (2010)Reconstruction of boundary conditions from internal conditions using viability theory., , and . ACC, page 640-645. IEEE, (2012)Automatic inference of map attributes from mobile data., , , , and . ITSC, page 1687-1692. IEEE, (2012)Online least-squares estimation of time varying systems with sparse temporal evolution and application to traffic estimation., , and . CDC/ECC, page 2595-2601. IEEE, (2011)Optimal decomposition of travel times measured by probe vehicles using a statistical traffic flow model., and . ITSC, page 815-821. IEEE, (2011)TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook., , and . KDD, page 3128-3135. ACM, (2020)A hybrid approach of physical laws and data-driven modeling for estimation: the example of queuing networks.. University of California, Berkeley, USA, (2013)Probabilistic formulation of estimation problems for a class of Hamilton-Jacobi equations., , and . CDC, page 3531-3537. IEEE, (2012)