Open AccessA comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
Author(s) -
José Carlos García-García,
Ricardo Garćıa-Ródenas,
Julio Alberto López-Gómez,
José Ángel Martín-Baos
Publication year - 2022
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2022.02.047
Subject(s) - random forest , computer science , maximization , machine learning , artificial neural network , artificial intelligence , classifier (uml) , utility maximization , mode (computer interface) , data mining , mathematical optimization , mathematics , mathematical economics , operating system
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