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

Jinwoo Lee and Samer Madanat

Transportation Research Part B: Methodological, 2014, vol. 68, issue C, 141-153

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.

Keywords: Joint optimization; Pavement design; M&R strategies; Non-Markovian model; Convergence; Steady-state (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (6)

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DOI: 10.1016/j.trb.2014.06.008

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