Markov Chains for modelling the deterioration of rigid pavements, with a six-month step time
What is it about?
With IRI data from only 3 years, but collected twice a year, it was possible to develop a deterioration model for rigid pavement in Moldova by means of Markov Chains (or Transition Probability Matrices)
Why is it important?
The novelty of this work yields in the fact that, instead of establishing an one-year step time as usually in Transition Probability Matrices, due to the fact that data from only 3 years were available; a half-year step time was employed. This new approach, not commented on the literature, proposes that it is possible to consider shorter step times, if some assumptions are made.
The following have contributed to this page: Heriberto Pérez-Acebo