Retraction for "Accuracy and Precision Assessment of High-Speed Measurements of Pavement Surface Cracking" by P. A. Serigos, P. Buddhavarapu, J. A. Prozzi, A. de Fortier Smit, and M. R. Murphy

Serigos, Pedro A.; Buddhavarapu, Prasad; Prozzi, Jorge A; Smit, André de Fortier; Murphy, Mike

doi:10.1061/9780784479216.ret

Cited by 6 publications

(8 citation statements)

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“…In rigid pavements, macrotexture is controlled by the finishing method, that is, tining, grooving width and spacing, and direction of the texturing. Even the state-of-the-art practice methodologies used for measuring pavement texture at highway speeds typically account only for macrotexture ( 3 , 12 , 13 ), as the wavelengths associated with this type of texture are similar in size to tire tread elements in the tire–road interface ( 7 ). Microtexture alludes to the sub-visible or microscopic asperities of the aggregate surface, which control the contact between the tire rubber and the pavement surface ( 13 ).…”

Section: Pavement Texturementioning

confidence: 99%

Classification of Flexible Pavements Based on Texture Data

Sabillon

Hernandez

Bassil

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The strong correlations between pavement texture and other surface characteristics—such as friction, drainage, and noise—are widely known. However, those relationships are not straightforward and have a strong dependency on the type and properties of the pavement surface. Incorporating surface information into a prediction model for skid resistance has the potential to drastically increase its predictive power. Nonetheless, in practice, pavement surface information is often unknown at the network level and must be inferred based on local expertise. The objective of this study was to address this issue by developing an objective classification model capable of identifying different asphalt pavement surfaces with a high degree of accuracy using only field texture data. High-resolution texture data were collected on 21 highway sections with varying surface types within 60 mi of the city of Austin, Texas using a prototype developed in house. Sophisticated data-processing algorithms were created to ensure the data used in developing the classification model were of the highest possible quality. Based on the most recent literature on the topic, more than 20 texture summary statistics were assessed during this study to find the best combination to predict surface characteristics of asphalt pavements. The results are robust and indicate that texture summary statistics alone, when used in the right combination, have enough information to develop a pavement surface classification model with a predictive power as high as 89% based on the F1 score.

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Section: Pavement Texturementioning

confidence: 99%

Classification of Flexible Pavements Based on Texture Data

Sabillon

Hernandez

Bassil

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…A study by Wix and Leschinski evaluated the repeatability and agreement of automated crack detection results generated from a 2D-based imaging system and a 3D-based imaging system on different pavement surface types based on a simple evaluation of the number of frames showing cracking distress per 100-m sections ( 7 ). Another study conducted an independent evaluation of the accuracy and precision of pavement cracking taken by three pavement imaging systems and reported according to the LTPP Distress Identification Manual obtained based on proprietary algorithms with different levels of manual post-processing ( 8 ). The ground reference was established using two methods and compared against the systems’ reported cracking.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Crack Identification Performance of 3D Pavement Imaging Systems Using Portable High-Resolution 3D Scanning

Salameh

Yang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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With the increasing adoption of three-dimensional (3D) pavement imaging systems by highway agencies for automated pavement condition assessment, coupled with the advent of diverse systems from different manufacturers, there is a need for standard procedures for the verification and certification of systems’ performance in regard to distress identification, especially for cracking that is a key contributor for triggering maintenance and rehabilitation activities. Although some procedures were adopted by agencies for a rough verification of cracking identification accuracy using ground reference established subjectively by trained raters, a more rigorous and objective method is needed to match the continuous advancement in the systems’ capabilities and data quality requirements. As portable high-resolution 3D scanning technologies have become commercially available, there is an opportunity to leverage them for establishing a more trustable ground reference for the data quality evaluation. This paper proposes a methodology that uses high-resolution 3D scanners to establish the ground reference for field pavement cracking distress to evaluate the crack identification capability of 3D pavement imaging systems in regard to crack quantity, position, and width. A case study was performed by scanning sample pavement cracking spots using “FARO Arm Quantum S” scanner to collect ground reference images and a 3D pavement imaging system installed on the “Georgia Tech Sensing Van” to collect test images to validate the feasibility of the proposed methodology.

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“…TxDOT databases containing M&R project-related information can be divided into two groups regarding data formatting and content ( 18 ). The first group includes DCIS and SM and contains data from contracted projects.…”

Section: Case Studymentioning

confidence: 99%

“…Including censored information in the LCCA allows an unbiased and more robust estimation. The survival analysis applied used the approach as suggested by Serigos et al ( 18 ).…”

Section: Case Studymentioning

confidence: 99%

Economic Analysis of Pavement Preservation Techniques

Zuniga-Garcia

Martinez-Alonso

Smit

et al. 2018

Transportation Research Record: Journal of the Transportation R

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This paper summarizes the research study conducted to develop and implement a methodological framework, using an economic analysis technique, to evaluate the cost effectiveness of the three different preventive maintenance treatments applied to roadways in Texas: chip seals, microsurfacing, and thin overlays. The analysis is based on a stochastic evaluation of the effective life and cost of more than 14,000 maintenance and rehabilitation projects undertaken from 1994 to 2015. The effect of traffic loads, traffic volume, and roadway type was also evaluated. The life-cycle cost of the preventive maintenance techniques was obtained using a Monte Carlo simulation. Among the principal results, it was found that chip seals are the most cost-effective treatment and present the lowest life-cycle cost variability. The effective life of all three treatments was found to be quite similar. Additionally, it was found that the chip seals and microsurfacing tend to present comparable life-cycle costs when used on heavy traffic roadways.

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Retraction for "Accuracy and Precision Assessment of High-Speed Measurements of Pavement Surface Cracking" by P. A. Serigos, P. Buddhavarapu, J. A. Prozzi, A. de Fortier Smit, and M. R. Murphy

Cited by 6 publications

References 0 publications

Classification of Flexible Pavements Based on Texture Data

Classification of Flexible Pavements Based on Texture Data

Evaluating Crack Identification Performance of 3D Pavement Imaging Systems Using Portable High-Resolution 3D Scanning

Economic Analysis of Pavement Preservation Techniques

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