Abstract
This paper describes the development of a stochastic model for the strategic assessment of road maintenance funding and policy decisions. The algorithms used for simulating pavement deterioration utilise Markov processes, resulting in a transition probability matrix that defines defect progression as opposed to the more familiar regression-type model popular with engineers. The model is designed to be used by road maintenance managers and senior administrators for planning medium- to long-term maintenance investment requirements for local and national road networks. Finally, the application of the model is demonstrated with a case study from central Europe.
| Original language | English |
|---|---|
| Pages (from-to) | 203-211 |
| Number of pages | 9 |
| Journal | Institution of Civil Engineers. Proceedings. Transport |
| Volume | 158 |
| Issue number | TR4 |
| DOIs | |
| Publication status | Published - 1 Nov 2005 |
Keywords
- risk & probability analysis
- roads & highways
- management