Many bridge management systems use Markov models to predict the future deterioration of structural elements. This information is subsequently used in the determination of optimal intervention strategies and intervention programs. The input for these …
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., …
In the existing infrastructure management systems, optimal interventions strategies (OISs) are determined for objects that deteriorate gradually (manifest deterioration process, MDPs), under the assumption that with appropriate inspection and …
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 …
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 …
In many practices of bridge asset management, life cycle costs are estimated by statistical de-terioration prediction models based upon monitoring data collected through inspection activities. In many applications, it is, however, often the case …
One of the core techniques for the Pavement Management Systems (PMS) is the deterioration hazard model. The hazard models stochastically forecast the deterioration progresses of pavement based on its historical performance indicators over time. This …