Optimal long-term infrastructure maintenance planning accounting for traffic dynamics

Man Wo Ng, Dung Ying Lin, S. Travis Waller

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)


Periodic infrastructure maintenance is crucial for a safe and efficient transportation system. Numerous decision models for the maintenance planning problem have been proposed in the literature. However, to the best of our knowledge, no model exists that simultaneously accounts for traffic dynamics and is intended for long-term planning purposes. This article addresses this gap in the literature. A mixed-integer bi-level program is introduced that minimizes the long-term maintenance cost as well as the total system travel time. For the solution approach we utilize a genetic algorithm in conjunction with mesoscopic traffic simulation. The model is illustrated via a numerical example.

Original languageEnglish
Pages (from-to)459-469
Number of pages11
JournalComputer-Aided Civil and Infrastructure Engineering
Issue number7
Publication statusPublished - 2009

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics


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