Deterioration models are important and essential part of any Pavement Management System (PMS). These models are used to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance and rehabilitation policies on pavement. The majority of these models are based on roughness which is one of the most important indices in p...

In this paper, the potential use of an exponential hidden Markov model to model a hidden pavement deterioration process, i.e. one that is not directly measurable, is investigated. It is assumed that the evolution of the physical condition, which is the hidden process, and the evolution of the values of pavement distress indicators, can be adequately described using discrete condition states and...

This paper presents a fuzzy-based system that is used for maintenance planning of road pavements. The system has been developed based on knowledge elicitation from experienced maintenance engineers using fuzzy logic. The system includes functions for pavement condition and deterioration prediction, feasible treatment assessment in each pavement section, and maintenance planning in a road networ...

The optimization of a pavement management system necessitates the knowledge on the actual values of pavement condition parameters, actual pavement condition improvement as related to the use of various rehabilitation strategies, and scope of pavement deterioration before and after rehabilitation. The data for six pavement condition parameters (bearing capacity, unevenness, rut depth, macro text...

The primary objective of this study was to assess the pavement structural deterioration based on Non-Destructive Test (NDT) data using an Artificial Neural Networks (ANN) based approach. ANN-based prediction models were developed for rapid determination of flexible airfield pavement layer stiffnesses from actual NDT deflection data collected in the field in real time. For training the ANN model...

Large amounts of seal coats and thin overlays are applied every year by state highway agencies to improve the surface condition of pavements, but these measures have not successfully prevented the problem from reoccurring. As a result, the overall pavement condition keeps deteriorating because of the structural deformation of pavement layers and the subgrade. To make effective decisions about t...

Modeling pavement performance by combining field and experimental data The accurate prediction of pavement performance is important for efficient management of the surface transportation infrastructure. By reducing the error of the pavement deterioration prediction, agencies can obtain significant budget savings through timely intervention and accurate planning. The goal of this research was to...