Pavement deterioration model based on GPR datasets

Abstract

The paper deals with monitoring the current condition of flexible road pavement involving GPR technology. The methodology of using GPR is formed on remote measurements of thickness and permeability of pavement structural layers. After primary processing of GPR data they are interpreted by means of the developed algorithms and software. Then these data are used to build models of road section deterioration. Dynamic adaptive models are proposed in order to solve the problem of predicting the condition of individual local pavement segments. The mathematical apparatus of dynamic adaptive model of pavement deterioration was based not only on accounting the values of the explanatory variables at fixed times, but also on the rate and character of change of these variables. A comparative analysis carried out and the performance of the proposed models on the example of road sections of the Kharkiv region of Ukraine is shown.