Abstract: In the existing approach to maintenance and repair decision making for infrastructure facilities, policy evaluation and policy selection are performed under the assumption that a perfect facility deterioration model is ...

Abstract: A clusterwise linear regression model of pavement deterioration is presented. The model provides a framework to simultaneously segment a population and to describe performance with a set of regression models, one for each ...

Abstract: We present a statistically rigorous and computationally efficient framework that can exploit the extensive capabilities of advanced inspection technologies to support investment decisions in maintenance and repair of ...

Abstract: We present a quadratic programming formulation for the problem of obtaining optimal maintenance and repair policies for multifacility transportation infrastructure systems. The proposed model provides a computationally ...

Abstract: We conduct an empirical comparison of nine representative statistical pavement performance models, which have been estimated using serviceability data from the AASHO Road Test. The purpose of the study is to understand the ...

Abstract: We consider the problem of setting tolls and capacities in transportation networks serving single origin–destination markets. The motivation is to understand the effects of network structure and of decentralized decision-making ...

Abstract: We present an adaptive optimization model to find joint inspection and maintenance policies for infrastructure facilities under performance model uncertainty. The objective in the formulation is to minimize the total ...

Abstract: The authors apply a statistical process control framework to support structural health monitoring of the Grace Church building in Charleston, South Carolina. Specifically, they conduct a post-hoc analysis of displacement ...