2000Unpublished venueRequires access

Evaluation of an Existing Imaging System for Pavement Surface Distress Survey

Kelvin C. P. Wang, Robert P Elliott

Open publisher page 0 citations

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, WiseCrax, by the RoadWare Corporation in Ontario, Canada. The survey system from RoadWare includes data collection and a recognition engine called WiseCrax. The evaluation compared selected results from the automated survey from RoadWare and results from manual survey by AHTD staff. A survey of current users of WiseCrax was also conducted for this project. A report on the use of WiseCrax by Mr. Ed Block of Connecticut Department of Transportation is attached as Appendix A for reference. The report also describes the status of technology in the area of automated pavement distress survey and possible future directions. The report concludes that there still exist limitations in accuracy, speed and degree of automation with WiseCrax and other existing systems.

About this research paper

What this paper is about

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, WiseCrax, by the RoadWare Corporation in Ontario, Canada. The survey system from RoadWare includes data collection and a recognition engine called WiseCrax. The evaluation compared selected results from the automated survey from RoadWare and results from manual survey by AHTD staff. A survey of current users of WiseCrax was also conducted for this project. A report on the use of WiseCrax by Mr. Ed Block of Connecticut Department of Transportation is attached as Appendix A for reference. The report also describes the status of technology in the area of automated pavement distress survey and possible future directions. The report concludes that there still exist limitations in accuracy, speed and degree of automation with WiseCrax and other existing systems.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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, WiseCrax, by the RoadWare Corporation in Ontario, Canada. The survey system from RoadWare includes data collection and a recognition engine called WiseCrax. The evaluation compared selected results from the automated survey from RoadWare and results from manual survey by AHTD staff. A survey of current users of WiseCrax was also conducted for this project. A report on the use of WiseCrax by Mr. Ed Block of Connecticut Department of Transportation is attached as Appendix A for reference. The report also describes the status of technology in the area of automated pavement distress survey and possible future directions. The report concludes that there still exist limitations in accuracy, speed and degree of automation with WiseCrax and other existing systems.

Key concepts: Data collection, Transport engineering, Automation, Categorization, Corporation, Survey methodology, Engineering, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Evaluation of an Existing Imaging System for Pavement Surface Distress Survey — Research Paper | ScholarLens