TECHNICAL PAPERS
Jul 1, 2005

Repeatability in Crack Data Collection on Flexible Pavements: Comparison between Surveys Using Video Cameras, Laser Cameras, and a Simplified Manual Survey

Publication: Journal of Transportation Engineering
Volume 131, Issue 7

Abstract

 Crack data can be collected using manual or automatic surveys. Traditionally, manual methods are used, and they are still the most common. Changing into automatic systems will enhance the efficiency of data collection as well as the objectivity. In this study the repeatability of an automatic crack data collection system using video images was evaluated. Ten repetitive measurements were made on a 10-km-long road section. Cracking was measured using six laser cameras attached to the same vehicle. The results from the two methods were compared. Simultaneously, a simplified manual windshield survey was conducted by three different persons, and the repeatability obtained was used for comparison with the repeatability established using the image and laser method, respectively. The correlation between repeated measurements using the two automatic systems was high, while the repeatability for the manual, subjective method was low. Suitable measures for crack characterization are discussed.

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Acknowledgment

The financial support provided by the Swedish National Road Administration, through the Centre for Research and Education in Operation and Maintenance of Infrastructure, is gratefully acknowledged.

References

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 131Issue 7July 2005
Pages: 552 - 562

History

Received: May 13, 2003
Accepted: Aug 24, 2004
Published online: Jul 1, 2005
Published in print: Jul 2005

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Authors

Affiliations

Petra Offrell [email protected]
Ramboll RST, Isbergs Gata 3, SE-211 19, Malmö, Sweden. E-mail: [email protected]
Leif Sjögren [email protected]
Swedish Road and Transport Research Institute (VTI), SE-581 95 Linköping, Sweden. E-mail: [email protected]
Rolf Magnusson [email protected]
Dalarna Univ., SE-781 88 Borlänge, Sweden. E-mail: [email protected]

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