Investigation on linearisation of data-driven transport research: two representative case studies
Journal article, 2020
data-driven transport research
transportation
data transformation
mechanical engineering computing
transportation engineering
least squares approximations
nonlinear regression problem
nonlinearity
nonlinear regression function
nonlinear bunker-consumption model
regression analysis
regression model
linear regression method
Author
Yun Zou
University of Technology Sydney
Yan Kuang
Griffith University
Yue Zhi
Binzhou Medical University
Xiaobo Qu
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
IET Intelligent Transport Systems
1751-956X (ISSN) 1751-9578 (eISSN)
Vol. 14 7 675-683Subject Categories
Applied Mechanics
Probability Theory and Statistics
Control Engineering
DOI
10.1049/iet-its.2019.0551