Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models

Jinwoo Lee, Samer Madanat

Research output: Contribution to journalArticle

Abstract

The subject of this paper is the joint optimization of pavement design, maintenance and resurfacing (M&R) strategies. This problem is solved for continuous pavement state, continuous time, infinite planning horizon and non-Markovian (history-dependent) pavement deterioration model. This paper presents a mathematical formulation of the joint optimization problem to minimize the total discounted lifecycle costs, using a combination of analytical and numerical tools. The lifecycle costs include both user costs and agency (construction, resurfacing and maintenance) costs. This paper shows that resurfacing schedule converges to a steady state after a few resurfacing cycles. The research results should be of use to developing countries in the process of expanding their highway networks facing multiple constraints.

Original languageEnglish (US)
Pages (from-to)141-153
Number of pages13
JournalTransportation Research Part B: Methodological
Volume68
DOIs
StatePublished - Oct 2014

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Keywords

  • Convergence
  • Joint optimization
  • M&R strategies
  • Non-Markovian model
  • Pavement design
  • Steady-state

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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