Road life cycle management at the operational stage based on artificial neural network algorithms
Abstract
Road life cycle management at the operational stage based on artificial neural network algorithms
Incoming article date: 15.07.2022The stage of operation of a highway is one of the most important stages of its life cycle. The decisions made at this stage have a direct impact on the durability of the road, the safety and transport costs of its users. Optimization of the decisions made is an urgent task that requires a comprehensive consideration of both the technical and economic components. Within the framework of this work, using the algorithms of artificial neural networks (ANN), a mathematical model of the ANN was developed to determine the integral level of pavement safety, based on a complex of structural and operational factors, including the modulus of elasticity of pavement layers, longitudinal evenness, rutting, and the presence of fatigue failures. On the basis of the integral level of pavement safety, its operational condition is predicted, a scale is assigned for the selection of control actions to ensure its required durability.
Keywords: artificial neural networks, integral safety level, falling weight deflectometer, road maintenance, road life cycle management