Abstract
A prediction model using a neural network and discriminant analysis to predict pavement freezing after three hours is proposed to increase the efficiency of anti-icing programs. The results of the present study revealed that the pavement freezing in three hours can be predicted with considerable precision by combining the pavement surface temperature prediction model and the detection model of pavement wetness.
