Integrating Dynamic Performance Prediction Models into Pavement ManagementMaintenance and Rehabilitation Programs

Modeling of pavement performance deterioration in terms of riding quality or pavement roughness and surface distress is a critical engineering process in pavement management system (PMS). Integrating the performance prediction models into multi-year network pavement maintenance and rehabilitation (M&R) program involves several interactive functional processes of the pavement management, such as database information management, site specific performance models, M&R treatment alternatives and optimization analysis. Based on review of the pavement management system developed recently for the Ministry of Transportation of Ontario (MTO), this study presents an integrated dynamic performance prediction and M&R optimization methodology that may be considered for use in the future development. In particular, the study discusses the needs for enhancement of the system's functional ability to integrate pavement deterioration models with multi-year M&R treatments program. This involves adoption of common deterministic and probabilistic prediction models available for optimizing the allocations of annual investment in pavement rehabilitation program at network level.