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Markov Chain Optimisation for Pavement Maintenance

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Proceedings of 3rd International Sustainable Buildings Symposium (ISBS 2017) (ISBS 2017)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 6))

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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.

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Author information

Authors and Affiliations

  1. Structural Engineering Department, British University in Dubai, Dubai, UAE

    Mohammed Al Aryani, Halim Boussabaine & Richard Kirkham

  2. School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, UK

    Mohammed Al Aryani, Halim Boussabaine & Richard Kirkham

Authors
  1. Mohammed Al Aryani
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  2. Halim Boussabaine
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  3. Richard Kirkham
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Corresponding author

Correspondence to Mohammed Al Aryani .

Editor information

Editors and Affiliations

  1. Gazi University, Ankara, Turkey

    Seyhan Fırat

  2. University of South Wales, Pontypridd, United Kingdom

    John Kinuthia

  3. The British University in Dubai, Dubai, United Arab Emirates

    Abid Abu-Tair

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Aryani, M.A., Boussabaine, H., Kirkham, R. (2018). Markov Chain Optimisation for Pavement Maintenance. In: Fırat, S., Kinuthia, J., Abu-Tair, A. (eds) Proceedings of 3rd International Sustainable Buildings Symposium (ISBS 2017). ISBS 2017. Lecture Notes in Civil Engineering , vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-63709-9_53

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  • DOI: https://doi.org/10.1007/978-3-319-63709-9_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63708-2

  • Online ISBN: 978-3-319-63709-9

  • eBook Packages: EngineeringEngineering (R0)

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