Advanced Progressive Road Network Diagnostics Method Used to Monitor Changes in the Quality of the Pavement Surface

The surface properties of pavements are a basic factor of their serviceability and one of the most important factors of their safety. For the prediction reasons of incoming reconstructions, repairs or any services, it is very important to know the development of particular parameters of surface properties in dependence on the traffic load and time aspect. An important factor of the road quality, firstly by asphalt pavements, is a transverse evenness expressed by ruts depth and skid resistance characterized by friction coefficient. In order to determine the development, these factors were analyzed the measurements of test sections on the highway and selected roads of first and second class every year. Constantly exchanging values of data, deficiencies in data collection, but also in the process of evaluation suggest to the need for further research. Within the Research Center of the University of Žilina, people are dealing with scanning of the pavement surface in order to monitor the individual parameters of pavement serviceability. This paper deals with the creation, analysis and evaluation of a 3D road surface model in terms of two properties of pavement serviceability – the rut depth and its texture. Measurements are realized on an experimental field with accelerated straining on the pavement-loading wheel. The long-term accent should be mentioned predictions functions of selected pavement serviceability parameters.