A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Markov Chain Optimisation for Pavement Maintenance
Abstract The highways network is crucial to the economic and social development of the United Arab Emirates (UAE). The increase in capital spend on highways projects across the UAE has emphasised the importance of optimising the long-term operational and maintenance spend. This paper presents a case study of the application of Markov chains in the optimisation of pavement maintenance decision-making. The theoretical model utilises a simplified staged-homogenous Markov chain to predict future pavement conditions at the network level by comparing the pavement condition with planned maintenance activities against pavement condition without maintenance activities using a Pavement Condition Index (PCI) as the basis of the calculation. Also estimated budget for maintenance work has been achieved.
Markov Chain Optimisation for Pavement Maintenance
Abstract The highways network is crucial to the economic and social development of the United Arab Emirates (UAE). The increase in capital spend on highways projects across the UAE has emphasised the importance of optimising the long-term operational and maintenance spend. This paper presents a case study of the application of Markov chains in the optimisation of pavement maintenance decision-making. The theoretical model utilises a simplified staged-homogenous Markov chain to predict future pavement conditions at the network level by comparing the pavement condition with planned maintenance activities against pavement condition without maintenance activities using a Pavement Condition Index (PCI) as the basis of the calculation. Also estimated budget for maintenance work has been achieved.
Markov Chain Optimisation for Pavement Maintenance
Aryani, Mohammed Al (author) / Boussabaine, Halim (author) / Kirkham, Richard (author)
2018-01-01
16 pages
Article/Chapter (Book)
Electronic Resource
English
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