TY - JOUR TI - Modeling the surface stored thermal energy in asphalt concrete pavements AU - Matić Bojan AU - Salem Hasan Awadat AU - Radonjanin Vlastimir AU - Radović Nebojša AU - Sremac Siniša JN - Thermal Science PY - 2016 VL - 20 IS - 12 SP - 603 EP - 610 PT - Article AB - Regression analysis is used to develop models for minimal daily pavement surface temperature, using minimal daily air temperature, day of the year, wind speed and solar radiation as predictors, based on data from Awbari, Lybia,. Results were compared with existing SHRP and LTPP models. This paper also presents the models to predict surface pavement temperature depending on the days of the year using neural networks. Four annual periods are defined and new models are formulated for each period. Models using neural networks are formed on the basis of data gathered on the territory of the Republic of Serbia and are valid for that territory. [Projekat Ministarstva nauke Republike Srbije, br. TR 36017]