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Isasa, Miren
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Civil Engineering, Building, Construction & Architecture

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IRI Performance Models for Flexible, Semi-Rigid and Composite Pavements in Double-Carriageway Roads Gurrutxaga, Itziar; Alonso-Solórzano, Ángela; Isasa, Miren; Pérez-Acebo, Heriberto
Civil Engineering Journal Vol. 11 No. 5 (2025): May
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-05-01

Abstract

Pavement Management Systems (PMS) depend upon reliable pavement performance models. In this paper, our aim is to develop International Roughness Index (IRI) prediction models for the heavily trafficked (right-hand) lanes of motorways in the province of Gipuzkoa (Spain) in flexible, semi-rigid, and composite pavements. A deterministic approach was selected, based on the available information in the PMS employed in that province, covering complete pavement structures. Omitting pavement type, the model yielded a determination coefficient (R²) of 0.696 with only three variables: pavement age, cumulative volume of heavy vehicles travelling through the section, and total thickness of bituminous layers. Then, two superior models were generated with pavement type as a variable, yielding R²values of 0.781 and 0.795, respectively. Unlike the opaque features of Machine Learning (ML), the deterministic models captured precise relationships between the variables to a high degree of accuracy. They can moreover be applied to all pavements with bituminous layers, unlike many other models that are only applicable to a single pavement type. Furthermore, the models are presented for freeways where traffic is randomly distributed between lanes; a less widely covered topic in the literature. Doi: 10.28991/CEJ-2025-011-05-01 Full Text: PDF
Co-Authors Alonso-Solórzano, Ángela Gurrutxaga, Itziar Pérez-Acebo, Heriberto