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| Titel: |
Cost-effective selection and multi-period scheduling of pavement maintenance and rehabilitation strategies |
| Auteur: |
Yoo, J. Garcia-Diaz, A. |
| Verschenen in: |
Engineering optimization |
| Paginering: | Jaargang 40 (2008) nr. 3 pagina's 205-222 |
| Jaar: |
2008-03 |
| Inhoud: |
An optimization methodology is developed for determining the most cost-effective maintenance and rehabilitation (M&R) activities for each pavement section in a highway pavement network, along an extended planning horizon. A multi-dimensional 0-1 knapsack problem with M&R strategy-selection and precedence-feasibility constraints is formulated to maximize the total dollar value of benefits associated with the selected pavement improvement activities. The solution approach is a hybrid dynamic programming and branch-and-bound procedure. The imbedded-state approach is used to reduce multi-dimensional dynamic programming to a one-dimensional problem. Bounds at each stage are determined by using Lagrangian optimization to solve a relaxed problem by means of a sub-gradient optimization method. Tests for the proposed solution methodology are conducted using typical data obtained from the Texas Department of Transportation. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 3 van 5 gevonden artikelen
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