Open AccessA bi-level Random Forest based approach for estimating O-D matrices: Preliminary results from the Belgium National Household Travel Survey
Author(s) -
Ismaïl Saadi,
Ahmed Mustafà,
Jacques Teller,
Mario Cools
Publication year - 2017
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2017.05.301
Subject(s) - overfitting , random forest , exploit , trips architecture , calibration , flexibility (engineering) , statistics , basis (linear algebra) , computer science , econometrics , subspace topology , mathematics , geography , transport engineering , engineering , machine learning , artificial intelligence , geometry , computer security , artificial neural network
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