Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties

Abstract This study presents a machine learning approach to predict the structural number of flexible pavements using subgrade soil properties and environmental conditions. Four algorithms were evaluated, including random forest, extreme gradient boosting, gradient boosting, and K nearest neighbors....

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Bibliographic Details

Published in:	Scientific Reports
Main Author:	Asadullah Ziar
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-08-01
Subjects:	Machine learning Structural number Flexible pavement Subgrade soil properties Bisection method
Online Access:	https://doi.org/10.1038/s41598-025-13852-0