Forecasting the deterioration of the operational state of pavements using artificial intelligence algorithms

Abstract

Forecasting the deterioration of the operational state of pavements using artificial intelligence algorithms

Elshamy M.M.M., Tiraturyan A.N., Uglova E.V.

Incoming article date: 17.05.2022

The possibility of using artificial neural networks to assess the current characteristics of pavements and their potential application in the development of road maintenance strategies is considered. The results of the models showed the convergence between the estimated values ​​of the pavement condition and the actual values ​​at all stages of training. The results show that public road authorities can use the developed models to determine the optimal approach to road maintenance and determine the most effective measures to restore their capacity and operational condition.

Keywords: artificial neural networks, backpropagation algorithm, falling weight deflectometer, pavement maintenance, pavement management system