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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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/39753/ https://doi.org/10.1007/978-981-33-4597-3_89 |
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