Surface temperature significantly affects the asphalt layers modulus and entire pavement structure responseto vehicles traffic loading. Because of the rheological properties of bitumen binders, the asphalt performs similarly totemperature-susceptible visco-elastic materials. The historical temperature data of local regions is necessary to designsustainable pavement structures. Likewise, the layers’ material mechanical properties determined at specific temperaturesis essential for proper design too. This paper presents an analysis of pavement surface temperature classificationresults. Data analysis covers temperature data from the Road Weather Information Stations from the past ten years. Ananalysis of various temperature profile forecast methods is presented, followed by a review of recent research on theimpact of temperature and cause of failure. Particular emphasis is laid on sorting the qualitative temperature data. Thecomplete linkage clustering method had been used for establishing the most similar pairs for classification. Accordingly,the territory of Lithuania was divided into three main regions with different pavement temperature distributionsfor each temperature interval. Temperature classification along these lines enables pavement responses to be estimatedover the pavement design life.

DOI: https://doi.org/10.3846/enviro.2017.139