Enhancing municipal pavement condition predictions using machine learning modelsOA
Enhancing municipal pavement condition predictions using machine learning models
Muhammad Amjad Afridi;Sigurdur Erlingsson
Department of Streets and Roads,Skellefteå Municipality,Skellefteå 93185,Sweden||Department of Building Materials,KTH Royal Institute of Technology,Stockholm 10044,SwedenSwedish 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
Pavement managementMachine learningRandom forestPavement condition indexStreet maintenancePrediction models
Pavement managementMachine learningRandom forestPavement condition indexStreet maintenancePrediction models
《道路工程学报（英文）》 2026 (2)
245-265,21
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.
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