Predictive Temperature Modeling in Granular Base and Subgrade Layers Using Machine Learning: A Smart Road Study in Edmonton, Alberta, Canada

Abstract

Abstract Temperatures in the pavement layers are critical for preserving pavement structural integrity especially during freeze and thaw cycles. Better prediction of these temperatures, based on factors such as air temperature, incoming solar radiation, ...