Investigation of image archiving for pavement surface distress survey
Kcp Wang, Robert P Elliott
Abstract
Kcp Wang, Robert P Elliott
Abstract
The categorization and quantification of the type, severity, and extent of pavement surface distress is a primary method for assessing pavement condition. The current data collection system in the Arkansas State Highway and Transportation Department (AHTD) uses an analog and frame based video Van, which does not provide automated pavement surface imaging capabilities. This project includes the evaluation of a newly developed survey system by the RoadWare Corporation in Ontario, Canada. The evaluation compared selected results from the automated survey from RoadWare and results from manual survey by AHTD staff. The report also describes the status of technology in the area of automated pavement distress survey and possible future directions.
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The categorization and quantification of the type, severity, and extent of pavement surface distress is a primary method for assessing pavement condition. The current data collection system in the Arkansas State Highway and Transportation Department (AHTD) uses an analog and frame based video Van, which does not provide automated pavement surface imaging capabilities. This project includes the evaluation of a newly developed survey system by the RoadWare Corporation in Ontario, Canada. The evaluation compared selected results from the automated survey from RoadWare and results from manual survey by AHTD staff. The report also describes the status of technology in the area of automated pavement distress survey and possible future directions.
Key concepts: Categorization, Data collection, Transport engineering, Corporation, Distress, Engineering, Computer science, Civil engineering