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Enhancing municipal pavement condition predictions using machine learning models

Muhammad Amjad Afridi Sigurdur Erlingsson

道路工程学报（英文）2026，Vol.6Issue(2)：245-265,21.

道路工程学报（英文）2026，Vol.6Issue(2)：245-265,21.DOI:10.1016/j.jreng.2025.10.002

Enhancing municipal pavement condition predictions using machine learning models

Muhammad Amjad Afridi ¹Sigurdur Erlingsson²

作者信息

1. Department of Streets and Roads,Skellefteå Municipality,Skellefteå 93185,Sweden||Department of Building Materials,KTH Royal Institute of Technology,Stockholm 10044,Sweden
2. Swedish National Road and Transport Research Institute(VTI),Linköping 58195,Sweden||Division of Highway and Railway Engineering,KTH Royal Institute of Technology,Stockholm 10044,Sweden||Faculty of Civil & Environmental Engineering,University of Iceland,Reykjavik 107,Iceland
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摘要

关键词

Pavement management/Machine learning/Random forest/Pavement condition index/Street maintenance/Prediction models

Key words

Pavement management/Machine learning/Random forest/Pavement condition index/Street maintenance/Prediction models

引用本文复制引用

Muhammad Amjad Afridi,Sigurdur Erlingsson..Enhancing municipal pavement condition predictions using machine learning models[J].道路工程学报（英文）,2026,6(2):245-265,21.

基金项目

The project was funded by Mistra Infra-Maint Project 1.8(DIA 2016/28)and Skellefteå Municipality.The APC was funded by the library of the KTH Royal Institute of Technology.The authors would also like to express their gratitude to Dr Maria Ulan at the Research Institutes of Sweden(RISE)and Leif Sjögren,Research Leader at VTI,for their valuable contributions and insightful discussions. （DIA 2016/28）

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