A new formulation of a multi-year, multi-constraint, network-scale pavement management system methodology is described and compared with the year-by-year multi-constraint technique. This methodology uses mixed integer programming and predetermined strategies. The latter consist of a series of treatments according to decision trees. The goal is to identify the set of recommended strategies applied to a set of individual road sections, which minimize the overall strategy cost or maximize the condition-based benefit across the network, subject to some desired constraints. Three constraint types are resented, which can be applied simultaneously for all the analysis period and/or for specific years: the summation type, the weighted average condition, and the percentage above threshold. To demonstrate the methodology, a simple numerical paradigm is presented. A case study application to the State of Virginia illustrates the use of the methodology at network-level and allows a comparison of the model solutions with the year-by-year multi-constraint technique. Using AgileAssets’ Pavement Analyst, Pavement Management System, the results show significant cost savings from the implementation of the methodology.
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