Open AccessUsing a Machine Learning Approach to Predict the Thailand Underground Train’s Passenger
Author(s) -
Wuttipong Kusonkhum,
Korb Srinavin,
Narong Leungbootnak,
Tanayut Chaitongrat
Publication year - 2022
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2022/8789067
Subject(s) - metropolitan area , artificial neural network , public transport , computer science , decision tree , random forest , crowding , artificial intelligence , machine learning , asset (computer security) , bridge (graph theory) , transport engineering , operations research , engineering , geography , computer security , medicine , archaeology , neuroscience , biology
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