A general iterative approach for the system-level joint optimization of pavement maintenance, rehabilitation, and reconstruction planning

Le Zhang, Liangliang Fu, Weihua Gu, Yanfeng Ouyang and Yaohua Hu

Transportation Research Part B: Methodological, 2017, vol. 105, issue C, 378-400

Abstract: We formulate a general bottom-up model for the joint optimization of maintenance, rehabilitation, and reconstruction (MR&R) schedules for a system of heterogeneous pavement segments under budget constraints. The objective is to minimize the total costs incurred to both the highway users and the pavement management agency. We propose a Lagrange multiplier approach together with derivative-free quasi-Newton algorithms to solve the problem for two scenarios: i) with a combined budget constraint for all the treatments; and ii) with one budget constraint for each treatment. The system-level solution approach has the following merits: i) it can be applied to problems with any forms of segment-level models for user and agency costs, deterioration process, and treatment effectiveness, given that the solution to the segment-level problem is available; ii) under the combined budget constraint, it ensures that the optimality gap of the system-level solution is bounded by a term that depends upon the optimality gap of the segment-level solutions; and iii) it exhibits linear complexity with the number of segments.

Keywords: System-level MR&R planning; Budget constraints; Preventive maintenance model; Lagrange multiplier; Quasi-Newton methods (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.trb.2017.09.014

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