Travel mode choice modeling: Predictive efficacy between machine learning models and discrete choice model

Travel mode choice modeling: Predictive efficacy between machine learning models and discrete choice model

Background: A complex travel behaviour among users is intertwined with many factors. Traditionally, the exploration in travel mode choice modeling has been dominated by the Discrete Choice model, nonetheless, owing to the advancement in computational techniques, machine learning has gained traction...

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Bibliographic Details
Main Authors: Nur Fahriza, Mohd. Ali, Ahmad Farhan, Mohd. Sadullah, Abdul Majeed, Anwar P. P., Mohd Azraai, Mohd Razman, Muhammad Aizzat, Zakaria, Ahmad Fakhri, Ab. Nasir
Format: Article
Language:English
Published: Bentham Science Publishers 2021
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/35169/
http://umpir.ump.edu.my/id/eprint/35169/1/Travel%20mode%20choice%20modeling_Predictive%20efficacy%20between%20machine%20learning%20models%20and%20discrete%20choice%20model.pdf

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http://umpir.ump.edu.my/id/eprint/35169/
http://umpir.ump.edu.my/id/eprint/35169/1/Travel%20mode%20choice%20modeling_Predictive%20efficacy%20between%20machine%20learning%20models%20and%20discrete%20choice%20model.pdf

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