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A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction

Jinwoo Lee and Samer Madanat

Transportation Research Part B: Methodological, 2015, vol. 78, issue C, 106-122

Abstract: We present a methodology for the joint optimization of rehabilitation and reconstruction activities for heterogeneous pavement systems under multiple budget constraints. The proposed bottom-up approach adopts an augmented condition state to account for the history-dependent properties of pavement deterioration, and solves for steady-state policies for an infinite horizon. Genetic algorithms (GAs) are implemented in the system-level optimization based on segment-specific optimization results. The complexity of the proposed algorithm is polynomial in the size of the system and the policy-related parameters. We provide graphical presentations of the optimal solutions for various budget situations. As a case study, a subset of California’s highway system is analyzed. The case study results demonstrate the economic benefit of a combined rehabilitation and reconstruction budget compared to separate budgets.

Keywords: Bottom-up optimization; Pavement reconstruction; Pavement rehabilitation; History-dependent deterioration; Multiple constraints (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (8)

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DOI: 10.1016/j.trb.2015.05.001

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