%0 Journal Article
	%A Nam Lethanh and  Bryan T. Adey
	%D 2012
	%J International Journal of Civil and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 61, 2012
	%T A Hidden Markov Model for Modeling Pavement Deterioration under Incomplete Monitoring Data
	%U https://publications.waset.org/pdf/14190
	%V 61
	%X In this paper, the potential use of an exponential
hidden Markov model to model a hidden pavement deterioration
process, i.e. one that is not directly measurable, is investigated. It is
assumed that the evolution of the physical condition, which is the
hidden process, and the evolution of the values of pavement distress
indicators, can be adequately described using discrete condition states
and modeled as a Markov processes. It is also assumed that condition
data can be collected by visual inspections over time and represented
continuously using an exponential distribution. The advantage of
using such a model in decision making process is illustrated through
an empirical study using real world data.
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