Resumen
Maintenance condition surveys and quality assessments allow highway agencies to assess performance by calculating performance measures and tracking performance against annual maintenance expenditures. These performance assessments are often used as justification for adopting and implementing previous year work activities in the future and to identify areas of improvement. However, this approach does not allow the asset manager to prioritize maintenance activities and justify investment across maintenance areas. While implementation of Maintenance Quality Assessment (MQA) programs is a necessary first step, several agencies in the United States are now starting to take the next step. These agencies have started deploying a framework that helps identify the optimal set of roadway maintenance activities that should be done to improve performance given a certain budget. Their goal is to quantify the impact of various levels of funding in terms of network performance. The framework comprises of a set of performance measures that are calculated based on data collected during maintenance condition surveys, analytical models that allows for estimation of costs to achieve a certain desired level-of-service (LOS), and an integer programming based optimization model that helps in determining the best set of maintenance activities that can achieve performance goals given budget constraints. In this paper, a maintenance model for Network Maintenance Analysis is presented that is based on existing practice of using LOS and therefore can be easily incorporated into existing decision processes.