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This study develops pavement temperature prediction models based on temperature and weather data measured from the instrumentation section on Interstate 40 (I-40) in New Mexico, USA. As a first step, pavement temperatures of asphalt concrete at different depths, air temperature and solar radiation were continuously monitored from October 15, 2012 to October 14, 2013. Using this data, statistical models were developed to predict the temperature of asphalt concrete at any depth. Comparison of additional temperature data from October 15, 2013 to January 21, 2014 validates the models. Using these models, asphalt concrete inner pavement temperature at any depth of asphalt concrete can be predicted if the surface or air temperature is known. The study outcome expects to be highly beneficial for analyzing temperature related stress-strain, validating numerical models developed to predict pavement temperature and calibrating the Pavement Mechanistic-Empirical (ME) Design Guide for pavement design.

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