Ricerc@Sapienza

Modeling asset deterioration is a crucial business process within Transportation Asset management. A cost-effective Pavement Management System (PMS) requires adequate models to predict pavement deterioration. However, uncertainties related to the pavement data acquisition and condition assessment methods profoundly influence the pavement deterioration process. This research intends to evaluate the effect of pavement condition uncertainties on pavement performance and the effectiveness of maintenance treatments aiming to cost-effective management strategies based on the analysis of pavement construction available records of individual pavement sections. Data cleansing and quality policies would be discussed to efficiently integrates pavement and uncertainty considerations to provide recommended pavement preservation policies within pavement road agencies. The analysis used more than 191,000 records from the Virginia Department of Transportation pavement management system. This research will also discuss the advantages of preventive maintenance strategies over the traditional strategy of fixing the "worst first" proposing cost-effective strategies focused on preservation without exceeding budgetary limits.