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- W2059095170 abstract "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." @default.
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- W2059095170 date "2008-03-01" @default.
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- W2059095170 title "Cost-effective selection and multi-period scheduling of pavement maintenance and rehabilitation strategies" @default.
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- W2059095170 doi "https://doi.org/10.1080/03052150701686937" @default.
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