  In this paper, we present a monitoring system that allows increasing road
safety by predicting ice formation. The system consists of a network of road
weather stations and intelligence data processing program module. The results
were achieved by combining physical models for forecasting road conditions
based on measurements from stations and machine learning models for detecting
incorrect data and forecast correction.
