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The paper provides a research investigation focused on applying Markov Processes to ascertain the most effective approach for managing the lifecycle of a pavement network. It provides an extensive examination of condition data collected from the Irish national road network, overseen by Transport Infrastructure Ireland (TII). The study develops Transition Probability Matrices (TPMs) for various condition indicators, taking into account factors like Annual Average Daily Traffic (AADT). Additionally, it discusses the merits of using homogeneous versus non-homogeneous chains. In conclusion, the paper underscores the pivotal role of probabilistic techniques in the realm of pavement asset management.

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Probability Based Pavement Asset Management on the Irish National Road Network

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Ray McGowan,
  • Alan O’Connor,
  • Kieran Feighan

摘要

The paper provides a research investigation focused on applying Markov Processes to ascertain the most effective approach for managing the lifecycle of a pavement network. It provides an extensive examination of condition data collected from the Irish national road network, overseen by Transport Infrastructure Ireland (TII). The study develops Transition Probability Matrices (TPMs) for various condition indicators, taking into account factors like Annual Average Daily Traffic (AADT). Additionally, it discusses the merits of using homogeneous versus non-homogeneous chains. In conclusion, the paper underscores the pivotal role of probabilistic techniques in the realm of pavement asset management.