Applicability of the Functional Inventory of Rigid Pavements Using LCMS Technology
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 150, Issue 3
Abstract
The Pavement Management System (PMS) includes constant assessments of the structural and, mainly, functional conditions of the pavement. An automated collection, performed at traffic speeds, in which human error can be minimized, presents perspectives for PMS optimization. To contribute to the functional pavement assessment process, this study investigated the applicability of the functional inventory process for rigid pavements using equipment with laser crack measurement system (LCMS) technology. Test sections were defined following the traditional method of assessing the surface of the pavement proposed by the Brazilian National Department of Transport Infrastructure (DNIT). Additionally, pavement surface macrotexture was evaluated to serve as a basis for comparison with the results obtained with the use of LCMS technology. The analysis of the repeatability and reproducibility of each technique demonstrated that the use of the LCMS equipment and the procedure of analysis is feasible, and could provide equations to correlate the results obtained via the mechanized and traditional procedures.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
References
Abe, H., A. Tamai, J. J. Henry, and J. Wambold. 2001. “Measurement of pavement macrotexture with circular texture meter.” Transp. Res. Rec. 1764 (1): 201–209. https://doi.org/10.3141/1764-21.
ANTT (Agência Nacional de Transporte Terrestre). 2019. “Resolução DG/ANTT/MI 5859/2019.” [In Portuguese.] Accessed January 24, 2023. https://anttlegis.antt.gov.br/.
ARTESP (Agência de Transporte do Estado de São Paulo). 2019. Apêndice C, Fichas relativas aos indicadores de desempenho, Concessão para a prestação dos serviços públicos de operação manutenção e realização dos investimentos necessários para a exploração do sistema rodoviário denominado lote Piracicaba-Panorama, conforme especificado no Edital. [In Portuguese.] São Paulo, Brazil: São Paulo State Transportation Regulatory Agency.
ASTM. 2012. Standard test method for airport pavement condition index surveys. ASTM D5340-12. West Conshohocken, PA: ASTM.
ASTM. 2015a. Standard practice for calculating pavement macrotexture mean profile depth. ASTM E1845-15. West Conshohocken, PA: ASTM.
ASTM. 2015b. Standard test method for measuring pavement macrotexture depth using a volumetric technique. ASTM E965-15. West Conshohocken, PA: ASTM.
ASTM. 2016. Standard practice for roads and parking lots pavement condition index surveys. ASTM D6433-16. West Conshohocken, PA: ASTM.
Barret, V., and T. Lewis. 1994. Outliers in statistical data. 3rd ed. New York: Wiley.
Burton, M. C. 2014. “Assessment of automated technologies in Texas for pavement distress identification, texture, and cross slope measurement.” Ph.D. dissertation, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas.
China, S., and D. E. James. 2012. “Comparison of laser-based and sand patch measurements of pavement surface macrotexture.” J. Transp. Eng. 138 (2): 176–181. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000315.
DNIT (Departamento Nacional de Infraestrutura de Transportes). 2004a. Pavimento rígido: Avaliação subjetiva–procedimento. 062.2004 - PRO. [In Portuguese.] Rio de Janeiro, Brazil: DNIT.
DNIT (Departamento Nacional de Infraestrutura de Transportes). 2004b. Pavimento rígido: Avaliação subjetiva–procedimento. 063/2004 - PRO. [In Portuguese.] Rio de Janeiro, Brazil: DNIT.
DNIT (Departamento Nacional de Infraestrutura de Transportes). 2004c. Pavimento rígido: Defeitos - terminologia. 061/2004 - TER. [In Portuguese.] Rio de Janeiro, Brazil: DNIT.
DNIT (Departamento Nacional de Infraestrutura de Transportes). 2004d. Pavimento rígido: Inspeção visual–procedimento. 060/2004 - PRO. [In Portuguese.] Rio de Janeiro, Brazil: DNIT.
DNIT (Departamento Nacional de Infraestrutura de Transportes). 2006. Manual de restauração de pavimentos asfálticos. [In Portuguese.] Rio de Janeiro, Brazil: DNIT.
FAA (Federal Aviation Administration). 2021. “FAA pave air help: Pavement condition index (PCI).” Accessed June 9, 2021. https://faapaveair.faa.gov/Help/#!Documents/pavementconditionindexpci.htm.
Felix, D. B. C. 2008. “Avaliação da metodologia do USACE aplicada à análise das condições de rolamento dos pavimentos de concreto armado.” Dissertação de Mestrado, Escola Politécnica, Universidade de São Paulo, São Paulo.
Fisco, N., and H. Sezen. 2014. “Comparison of surface macrotexture measurement methods.” Supplement, J. Civ. Eng. Manage. 19 (S1): S153–S160. https://doi.org/10.3846/13923730.2013.802732.
Grubbs, F. E. 1969. “Procedures for detecting outlying observations in samples.” Technometrics 11 (1): 1–21. https://doi.org/10.1080/00401706.1969.10490657.
Hafiz, A., M. Celaya, V. Jha, and M. Frabizzio. 2021. “Semi-automated method to determine pavement condition index on airfields.” In Proc., Int. Airfield and Highway Pavements Conf. Reston, VA: ASCE.
ISO. 2019. Accuracy (trueness and precision) of measurement methods and results. Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method. Technical corrigendum 1. ISO 5725-2:2019. Geneva: ISO.
Mulry, B., M. Jordan, and D. O’Brien. 2015. “Automated pavement condition assessment using laser crack measurement system (LCMS) on Airfield pavements in Ireland.” In Proc., 9th Int. Conf. on Managing Pavement Assets. Alexandria, VA: Virginia Tech Transportation Institute.
Nikolaides, A. 2015. Highway engineering: Pavements, materials, and control of quality. 1st ed. Boca Raton, FL: CRC Press.
Paplauskas, P., A. Vaitkus, and R. Simanavičienė. 2023. “Road pavement condition index deterioration model for network-level analysis of national road network based on pavement condition scanning data.” Balt. J. Road Bridge Eng. 18 (3): 70–101. https://doi.org/10.7250/bjrbe.2023-18.609.
Prowell, B. D., and D. I. Hanson. 2005. Evaluation of circular texture meter for measuring surface texture of pavements. Washington, DC: Transportation Research Board.
Scabello, D. T. 2018. “Estudo sobre a aplicabilidade do processo de inventário funcional de pavimentos rígidos com o emprego do equipamento Pavement Scanner e validação de resultados.” Dissertação de Mestrado, Escola Politécnica, Universidade de São Paulo, São Paulo.
Sengoz, B., A. Topal, and S. Tanyel. 2012. “Comparison of pavement surface texture determination by sand patch test and 3D laser scanning.” Period. Polytech. 56 (1): 73–78. https://doi.org/10.3311/pp.ci.2012-1.08.
Thodesen, C., O. B. Lerfald, and I. Hoff. 2012. “Review of asphalt pavement evaluation methods and current application in Norway.” Baltic J. Road Bridge Eng. 7 (4): 246–252. https://doi.org/10.3846/bjrbe.2012.33.
USACE (United States Army Corps of Engineers Technical Manual). 1982. Pavement maintenance management. Rep. No. TM 5-623. Washington, DC: Dept. of the Army.
White, G., C. Ward, and S. Jamieson. 2019. “Field evaluation of a handheld laser meter for pavement surface macro texture measurement.” Int. J. Pavement Eng. 22 (8): 950–959. https://doi.org/10.1080/10298436.2019.1654103.
Yaacob, H., N. A. Hassan, M. R. Hainin, and M. F. Rosli. 2014. “Comparison of sand patch test and multi-laser profiler in pavement surface measurement.” Jurnal Teknologi 70 (4): 103–106. https://doi.org/10.11113/jt.v70.3497.
Information & Authors
Information
Published In
Journal of Transportation Engineering, Part B: Pavements
Volume 150 • Issue 3 • September 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jan 25, 2023
Accepted: Jan 19, 2024
Published online: Apr 29, 2024
Published in print: Sep 1, 2024
Discussion open until: Sep 29, 2024
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.