IRI Performance Models for Flexible, Semi-Rigid and Composite Pavements in Double-Carriageway Roads

Itziar Gurrutxaga; íngela Alonso-Solórzano; Miren Isasa; Heriberto Pérez-Acebo

doi:10.28991/CEJ-2025-011-05-01

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Itziar Gurrutxaga Department of Mechanical Engineering, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain
íngela Alonso-Solórzano Department of Physics, University Francisco de Vitoria, Carretera Pozuelo-Majadahonda, Pozuelo de Alarcón 28223, Spain
Miren Isasa Department of Mechanical Engineering, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain
Heriberto Pérez-Acebo
heriberto.perez@ehu.eus
Department of Mechanical Engineering, University of the Basque Country UPV/EHU, Bilbao 48013, Spain

Vol. 11 No. 5 (2025): May

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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

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Gurrutxaga, I., Alonso-Solórzano, íngela, Isasa, M., & Pérez-Acebo, H. (2025). IRI Performance Models for Flexible, Semi-Rigid and Composite Pavements in Double-Carriageway Roads. Civil Engineering Journal, 11(5), 1712–1738. https://doi.org/10.28991/CEJ-2025-011-05-01

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Publication Start Year:	2015
JCR 2023 Impact Factor (IF):	4.3
JIF QUARTILE:	Q1
SJR 2023 Quartile:	Q1
Acceptance Rate:	27%
Review Speed (Average):	76 days
Issue Per Year:	12
Number of Volumes:	10
Number of Issues:	107
Number of Articles:	1552
Number of Reviewers:	3417
Number of Contributors:	3604
Contributing Countries:	86
No. of WoS Citations:	7986
WoS h-index:	34
Scopus CiteScore:	7.0
No. of Google Citations:	17324
Google h-index:	47
Google i10-index:	393
Abstract Views:	5,819,908
PDF Download:	3,790,637

IRI Performance Models for Flexible, Semi-Rigid and Composite Pavements in Double-Carriageway Roads

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