Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement

The international roughness index (IRI) for roads is a crucial pavement design criterion in the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, studies have shown that the IRI transfer function in the MEPDG is simply a linear combination of road parameters, so it cannot provide accurat...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 17; p. 5682
Main Authors:	Wang, Changbai, Xu, Shuzhan, Yang, Junxin
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 24.08.2021 MDPI
Subjects:	Accuracy AdaBoost regression Algorithms Artificial Intelligence Asphalt pavements Calibration decision tree Hydrocarbons IRI prediction LTPP MEPDG Motor Vehicles Roads & highways Traffic control Variables Canada New Mexico United States > US AdaBoost regression decision tree IRI prediction LTPP MEPDG
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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