Markov Chain Optimisation for Pavement Maintenance

  • Mohammed Al Aryani
  • Halim Boussabaine
  • Richard Kirkham
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 6)


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.


Homogenous Markov chain Pavement performance Pavement condition index (PCI) Preventive maintenance Correctives maintenance 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Mohammed Al Aryani
    • 1
    • 2
  • Halim Boussabaine
    • 1
    • 2
  • Richard Kirkham
    • 1
    • 2
  1. 1.Structural Engineering DepartmentBritish University in DubaiDubaiUAE
  2. 2.School of Mechanical, Aerospace and Civil EngineeringThe University of ManchesterManchesterUK

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