Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1131757 | Transportation Research Part B: Methodological | 2015 | 17 Pages |
•We solve the system-level optimization of pavement rehabilitation and reconstruction.•The approach is bottom-up that allows for considering segment-specific features.•Genetic Algorithms are used.•We provide graphical presentations of the solutions for various budget situations.•The complexity of the proposed algorithm is polynomial in the size of the system.
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.