Abstract
This chapter outlines how Markov and semi-Markov models can be used in Transportation Infrastructure Management Systems, in particular Pavement and Bridge Management Systems. The use of Markov models have been used in both Pavement and Bridge Management Systems for years. In more recent times the use of semi-Markov models have been introduced in Bridge Management Systems. Research has shown that if there is enough data available to develop semi-Markov models for transportation infrastructure, then this stochastic technique can be used to predict the future network level conditions and can be used in the development of preservation models for transportation infrastructure. The application of these techniques are not only limited to transportation infrastructure, but can also be applied in other areas.
Reference32 articles.
1. Wang CP. Pavement network optimization and analysis [PhD dissertation]. Tempe, AZ, USA: Arizona State University; 1992
2. Wang KCP, Zaniewski J, Way G. Probabilistic behavior of pavements. Journal of Transportation Engineering, American Society of Civil Engineers (ASCE). 1994;(3):358-375
3. Nasseri S, Gunaratne M, Yang J, Nazef A. Application of improved crack prediction methodology in florida’s highway network. Transportation Research Record: Journal of the Transportation Research Board. 2009;:67-75
4. Golabi K, Thompson PD, Hyman WA. Pontis Version 2.0 Technical Manual, A Network Optimization System for Bridge Improvements and Maintenance. Washington DC: Federal Highway Administration; December 1993
5. Micevski T, Kuczera G, Coombes P. Markov model for storm water pipe deterioration. Journal of Infrastructure Systems, American Society of Civil Engineers (ASCE). 2002;(2):49-56