Forecasting daily travel mode choice of kuantan travellers by means of machine learning models

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Forecasting daily travel mode choice of kuantan travellers by means of machine learning models

In transportation studies, forecasting users’ mode choice in daily commute is crucial in order to manage traffic problems due to high number of private vehicles on the road. Conventional statistical techniques have been widely used in order to study users’ mode choice; however, the choice of the mos...

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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, Choong, Chun Sern, Musa, Rabiu Muazu
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Science and Business Media Deutschland GmbH 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/39753/ http://umpir.ump.edu.my/id/eprint/39753/1/Forecasting%20Daily%20Travel%20Mode%20Choice%20of%20Kuantan%20Travellers.pdf http://umpir.ump.edu.my/id/eprint/39753/2/Forecasting%20daily%20travel%20mode%20choice%20of%20kuantan%20travellers%20by%20means%20of%20machine%20learning%20models_ABS.pdf

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