Optimum microscopic pavement management model using constrained integer linear programming

摘要

A pavement management model has been developed using a microscopic approach to yield optimum pavement conditions for a given pavement system. The microscopic pavement management problem is formulated as a constrained integer linear programming model subjected to budget and improvement requirement constraints. The developed optimum microscopic model incorporates integer variables representing the number of pavement sections to be treated by the applicable maintenance and rehabilitation actions. The objective of yielding optimum pavement conditions is achieved by either considering the net pavement condition rating gain or age-gain applied to a given pavement system. In either approach, the optimisation model can be formulated to maximise pavement conditions or minimise maintenance and rehabilitation costs. Data requirements for the microscopic model include identification of each pavement section and rating its distress condition, providing cost rates and performance parameters for the deployed maintenance and rehabilitation actions and specifying anticipated budget and pavement improvement requirements. Sample results from a case study have indicated that the developed model is very effective in yielding optimum pavement conditions.