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Car-Following Described by Blending Data-Driven and Analytical Models: A Gaussian Process Regression Approach
Author(s) -
Ignasi Echaniz Soldevila,
Victor L. Knoop,
Serge P. Hoogendoorn
Publication year - 2021
Publication title -
transportation research record journal of the transportation research board
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.624
H-Index - 119
eISSN - 2169-4052
pISSN - 0361-1981
DOI - 10.1177/03611981211032648
Subject(s) - parametric statistics , computer science , kriging , gaussian process , set (abstract data type) , range (aeronautics) , process (computing) , acceleration , parametric model , regression analysis , data set , data modeling , ground penetrating radar , machine learning , data mining , radar , artificial intelligence , gaussian , engineering , mathematics , statistics , physics , classical mechanics , quantum mechanics , database , programming language , aerospace engineering , operating system , telecommunications

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