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<title>IRI Performance Models for Flexible Pavements in Two-Lane Roads until First Maintenance and/or Rehabilitation Work</title>
<creator>Pérez Acebo, Heriberto</creator>
<creator>Linares Unamunzaga, Alaitz</creator>
<creator>Rojí, Eduardo</creator>
<creator>Gonzalo Orden, Hernán</creator>
<subject>International Roughness Index</subject>
<subject>IRI</subject>
<subject>Pavement performance model</subject>
<subject>Pavement management system</subject>
<subject>Deterministic models</subject>
<subject>Pavement management</subject>
<subject>Deterioration models</subject>
<subject>Two-lane roads</subject>
<subject>Flexible pavements</subject>
<description>Pavement performance models play a vital role in any pavement management system.&#xd;
The Regional Government of Biscay (RGB) (Spain) manages a 1200 km road network and conducts&#xd;
pavement data collections, including the International Roughness Index (IRI) values. The aim of the&#xd;
paper is to develop an IRI performance model for two-lane roads with flexible pavement until the&#xd;
first maintenance and/or rehabilitation activity is performed. Due to the huge amount of available&#xd;
information, a deterministic model was selected. A literature review of deterministic models showed&#xd;
that, apart from age and traffic volumes, the pavement structure is a key factor. Therefore, it was&#xd;
decided to analyze the only road stretches whose entire pavement section was known (surface layer&#xd;
+ base + subbase). Various variables related to age, traffic volumes and employed materials were&#xd;
introduced as possible factors. The multiple linear regression model with the highest coefficient of&#xd;
determination and all the variables significant included the real pavement age, the cumulated heavy&#xd;
traffic and the total thickness of bituminous layers. As the material employed in the surface layer&#xd;
could affect roughness progression, a qualitative variable was introduced to consider various surface&#xd;
materials. The model improved its accuracy, indicating that the surface layer material is also an&#xd;
influencing factor on IRI evolution.</description>
<date>2023-04-20</date>
<date>2023-04-20</date>
<date>2020-01</date>
<type>info:eu-repo/semantics/article</type>
<identifier>http://hdl.handle.net/10259/7651</identifier>
<identifier>10.3390/coatings10020097</identifier>
<identifier>2079-6412</identifier>
<language>eng</language>
<relation>Coatings. 2020, V. 10, n. 2, 97</relation>
<relation>https://doi.org/10.3390/coatings10020097</relation>
<rights>http://creativecommons.org/licenses/by/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Atribución 4.0 Internacional</rights>
<publisher>MDPI</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>