The paper presents a new method to classify the road surfaces according to the adhesion coefficient between the tire and road surface using big data approach. In this research, three different categories of the road surface are considered, such as dry, wet and icy. The purpose of classification is to create a model, which is able to determine the type of the actual road surface using only the measured data of the vehicle. The classification method is, basically, based on the C4.5 decision tree algorithm, while the data is provided the high-fidelity simulation software, CarSim. Finally, the efficiency of the resulted model is demonstrated through a complex simulation.