[EN] Reliable pavement prediction models are needed for pavement management systems (PMS),
as they are a key component to forecast future conditions of the pavement and to prioritize
maintenance, rehabilitation, and reconstruction strategies. The International Roughness
Index (IRI) is the most used parameter worldwide for calibrating pavement roughness and
measures reasonably the ride comfort perceived by occupants of passenger cars. The
Regional Government of Biscay also collects this value on the road network under its
control. These surveys are carried out regularly in the XXI century. Several IRI performance
models have been proposed by different authors and administrations, varying greatly in their
comprehensiveness, the ability to predict performance with accuracy and input data
requirements. The aim of this paper is to develop a roughness performance model for
Biscay’s roads, based on available IRI data, taking into account heavy traffic volume and
the age of pavement. Local characteristics as climate conditions and average rainfall are not
considered. IRI performance models have been suggested for regional two lane highways
with low and medium heavy traffic constructed in the last 20 years in the province of Biscay,
with no treatments during their life. They can be applied for flexible pavements, but no
logical coherent results have been concluded for semi-rigid pavementsPérez Acebo, H.; Gonzalo-Orden, H. (2016). IRI performance models for recently constructed low and medium-traffic two lane roads of the province of Biscay. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 582-597. https://doi.org/10.4995/CIT2016.2015.410858259
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