PMS

Investigation of the Ability to Estimate Values of Road Section Condition Indicators Based on Their Spatial Correlation

In the management of road networks, it is often desired to know the condition of individual road sections, which is approximated using the values of condition indicators. The values of these indicators can be used, for example, to determine whether …

Infrastructure Deterioration Prediction with a Poisson Hidden Markov Model on Time Series Data

The deterioration of a pavement surface can be described in terms of the presence and severity of distinct distresses, like potholes, cracking, and rutting. Each deterioration process is ordinarily described by a set of pavement indicators (e.g., …

Investigation of the Use of a Weibull Model for the Deterioration of Optimal Road Link Intervention Strategies

In this paper, a probabilistic model for the determination of optimal intervention strategies (OISs) for a road link composed of multiple objects that are affected by gradual deterioration processes is investigated. The model is composed of a …

Use of Exponential Hidden Markov Models for Modeling Pavement Deterioration

In this paper, the potential of using an exponential hidden Markov model to model an indicator of pavement condition as a hidden pavement deterioration process, i.e. one that is not directly measurable, is investigated. It is assumed that the …

A statistical deterioration forecasting method using hidden Markov model for infrastructure management

The application of Markov models as deterioration-forecasting tools has been widely documented in the practice of infrastructure management. The Markov chain models employ monitoring data from visual inspection activities over a period of time in …

A Benchmarking Approach to Pavement Management: Lessons from Vietnam

Stochastic Optimization Methods for Infrastructure Management with Incomplete Monitoring Data