The Virginia Department of Transportation currently uses the results of automated video distress surveys to develop a pavement maintenance budget based on a needs assessment. However, these data consist only of quantities of distress that were visually observable at the pavement surface; no information regarding the actual structural capacity of the pavement system was available. Therefore, it is likely that maintenance activities assigned to certain locations are not the optimal treatment because of conditions unseen at the surface. This study presents the results of a network-level FWD survey of Virginia’s interstate system and describes an implementation process where the data are used in an updated decision tree structure.
The results of this study can be used by pavement design and management engineers to ensure that maintenance funding is optimally spent and to develop condition forecasting tools to assist with future funding allocations based on the structural capacity of the pavement.
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