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Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow
Author(s) -
Arash Rasaizadi,
Seyedehsan Seyedabrishami
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 - 10.1155/2022/3198636
Subject(s) - term (time) , traffic flow (computer networking) , computer science , quartile , random forest , intelligent transportation system , mean squared error , ensemble forecasting , traffic congestion , process (computing) , artificial neural network , statistics , artificial intelligence , mathematics , engineering , transport engineering , computer network , confidence interval , physics , quantum mechanics , operating system

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