Optimization of pavement texture depth measurement using machine learning algorithms

Optimization of 3D laser scanning method using paired t-tests and ANOVA tests. Prediction of pavement mean texture depth using machine learning algorithms. Separation of macrotexture and microtexture using Power Spectral Density method.

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Publication Details

Journal
Discover Applied Sciences
Published
2026-02-23
DOI
https://doi.org/10.1007/s42452-026-08392-9
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization of pavement texture depth measurement using machine learning algorithms

Mohammad Fahad
Discover Applied Sciences
Infrastructure Maintenance and Monitoring
article

Optimization of pavement texture depth measurement using machine learning algorithms

Mohammad Fahad
article en

Abstract

Optimization of 3D laser scanning method using paired t-tests and ANOVA tests. Prediction of pavement mean texture depth using machine learning algorithms. Separation of macrotexture and microtexture using Power Spectral Density method.

Discover Applied Sciences
Széchenyi István University (HU)
Openalex Percentile: Top 48%
Infrastructure Maintenance and Monitoring
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