Integration of Pavement Cracking Prediction Model with Asset Management and Vehicle-Infrastructure Interaction Models

The main objective of this study is to develop an integrated framework that allows for linking of pavement simulation software with actual pavement cracking, distress and roughness, and to develop a framework that links the pavement roughness and distress information with vehicle maintenance and driver comfort. The objectives of this study are to: (1) predict pavement distress such as low temperature cracking, (2) estimate different types of user costs incurred by pavement roughness resulting from distresses, (3) compare agency investments for different maintenance and rehabilitation strategies and associated roughness-related user costs, (4) analyze environmental impacts of construction, maintenance, and rehabilitation (CMR) activities used in pavement engineering, (5) estimate and compare agency costs, user costs due to roughness, and emission costs due to CMR activities, and (6) estimate emission costs associated with pavement roughness. By considering the cost associated with the environmental impact of CMR activities, a more realistic estimate of the return on investment (ROI) associated with maintaining relatively smooth pavement throughout its service life was assessed.

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