Pavement asset management system (PAMS) assists agencies and decision makers to
maintain deteriorating pavement assets with optimized budget allocation. The recent …

Extensive studies on data analysis have been conducted to address pavement engineering
problems including material and structure design, performance evaluation, maintenance …

Prediction of the remaining service life (RSL) of pavement is a challenging task for road
maintenance and transportation engineering. The prediction of the RSL estimates the time …

Clustering and regression are two of the most important problems in data analysis and
machine learning. Recently, mixed-integer linear programs (MILPs) have been presented in …

Clusterwise linear regression (CLR), a clustering problem intertwined with regression, finds
clusters of entities such that the overall sum of squared errors from regressions performed …

The efficiency of pavement lifecycle planning highly depends on the accuracy of condition
predictions. Therefore, transportation agencies strive to maximize the impact of the limited …

In this paper, an auto-regression method is applied to pavement performance modelling to
improve the predictive accuracy of predictions when there are only limited or incomplete …

This study pairs unsupervised learning methods of clustering and classification with discrete-
time Markov Chain models for airport pavement performance prediction, with the goal of …

In the current literature, data is aggregated for the estimation of functions to explain or
predict crash patterns using either clustering analysis, regression analysis, or stage-wise …

A clusterwise linear regression model of pavement deterioration is presented. The model
provides a framework to simultaneously segment a population and to describe performance …