Transportation Research Record Journal of the Transportation Research Board · 2003 · 111 citations · 11 references
Highway PavementConstruction Project ManagementPavement EngineeringEngineeringLogistics OptimizationProject SchedulingMaintenance SchedulingOptimal System DesignOperations ResearchData-driven Decision SupportSystems EngineeringSensitivity AnalysisTransportation EngineeringAvailable Annual BudgetsProject NetworkNetwork LevelDesignPavement ManagementConstruction OperationsInteger ProgrammingCivil EngineeringBusinessConstruction ManagementMaintenance ManagementDecision-making ProblemInfrastructure SystemsConstruction EngineeringResource Optimization
A pavement management system should guide decision makers in selecting maintenance treatments and timing to maximize resource use, with prioritization quality directly affecting resource effectiveness. The study aims to provide decision support by developing a process for setting maintenance and rehabilitation priorities within a pavement management system. An integer linear programming model was created to select candidate projects across a highway network over a five‑year horizon, balancing maximized M&R effectiveness against minimized disturbance cost while respecting budget and pavement‑condition constraints, and was tested on a ten‑section pilot network. The model’s formulation, network‑level pavement management functions, sensitivity to annual budget constraints, and the impact of differing decision‑maker value systems on undominated solutions were demonstrated.
A typical pavement management system (PMS) should help a decision maker select the best maintenance program—that is, which maintenance treatment to use and where and when to apply it—so that maximal use is made of available resources. To provide decision support, a PMS needs a process for setting maintenance and rehabilitation (M&R) priorities. The quality of the prioritization directly influences the effectiveness of available resources, which in most cases is the primary goal of the decision maker. A network-level project selection procedure that uses an operations research optimization method was developed. An integer linear programming model was established to select a set of candidate projects from the highway network over a planning horizon of 5 years. In the model, constraints of available annual budgets and minimum requirements on pavement conditions were satisfied where state transition of each road section was formulated. Two optimization objectives—maximization of the total M&R effectiveness and minimization of the total M&R disturbance cost— were pursued over the planning horizon. A small network of 10 road sections was used as a pilot study for the established model. Pavement management functionalities at the network level are summarized, formulation of the integer linear programming model for the project selection problem is presented, differences in decision makers' value systems and the resulting different undominated solutions are discussed, and a sensitivity analysis of the annual budget constraint is conducted.
11
Transportation Research Record
Anne Vingaard Olesen, Erik Kjems, Kristian Hegner Reinau et al. · 2016 · 11.4K citations
Richard E. Rosenthal · Purdue e-Pubs (Purdue University System) · 2004 · 562 citations