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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2021. Protocols for Network-Level Macrotexture Measurement. Washington, DC: The National Academies Press. doi: 10.17226/26225.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2021. Protocols for Network-Level Macrotexture Measurement. Washington, DC: The National Academies Press. doi: 10.17226/26225.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2021. Protocols for Network-Level Macrotexture Measurement. Washington, DC: The National Academies Press. doi: 10.17226/26225.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2021. Protocols for Network-Level Macrotexture Measurement. Washington, DC: The National Academies Press. doi: 10.17226/26225.
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121   References Ames (2013). “Laser Texture Scanner Model 9300.” Brochure. Available at: https://amesengineering.com/products/ laser-texture-scanner/ (accessed May 2019). Anfosso-Lédée, F., and M.-T. Do (2002). “Geometric descriptors of road surface texture in relation to tire-road noise.” Transportation Research Record: Journal of the Transportation Research Board, 1806(1): 160–167. doi: 10.3141/1806-18 ARRB (n.d.). “Walking Profiler G3.” Brochure. Available at: https://www.arrb.com.au/admin/file/content2/c7/ PB-WPG3.pdf (accessed May 2019). Ashkar, B. H. (1970). Development of a Texture Profile Recorder. Texas Research Report, Austin, TX. Bartlett, J., and C. Frost (2008). “Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variables.” Ultrasound in Obstetrics and Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 31(4), 466–475. Bland, M. J., and D. Altman (1986). “Statistical methods for assessing agreement between two methods of clinical measurement.” The Lancet, 327(8476), 307–310. Bueno, M., J. Luong, U. Viñuela, F. Terán, and S. E. Paje (2011). “Pavement temperature influence on close proximity tire/road noise.” Applied Acoustics, 72(11): 829–835. Chou, C.-P., C.-C. Lee, A.-C. Chen, and C.-Y. Wu (2017). “Using a constructive pavement texture index for skid resistance screening.” International Journal of Pavement Research and Technology, 10(4): 360–368. Clapp, T. G. (1983). Spectral Correlation of the Surface Profile in the Development of a Tire and Pavement Inter­ action Force Model. Master’s thesis, North Carolina State University, Raleigh, NC. de León Izeppi, E., G. W. Flintsch, and K. K. McGhee (2012). “Limits of agreement method for comparison of pavement friction measurement.” Transportation Research Record: Journal of the Transportation Research Board, 2306(1): 188–195. doi: 10.3141/2306-22 de León Izeppi, E., G. W. Flintsch, M. I. Saleh, and K. K. McGhee (2008). “Area-Based Macrotexture Measure- ments Using Stereo Vision.” Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C. Descornet, G., B. Schmidt, M. Boulet, M. Gothié, M. Do, J. Fafie, M. Alonso, P. Roe, R. Forest, and H. Viner (2006). “Harmonization of European Routine and Research Measuring Equipment for Skid Resistance.” Proceedings, Forum of European National Highway Research Laboratories–FEHRL. Report. Doty, R. N. (1975). “Study of the Sand Patch and Outflow Meter Methods of Pavement Surface Texture Measure- ment.” In Surface Texture Versus Skidding: Measurements, Frictional Aspects, and Safety Features of Tire­Pavement Interactions, ed. J. Rose. 42–61. ASTM International. Du Preez, C. (2015). “A new arc–chord ratio (ACR) rugosity index for quantifying three-dimensional landscape structural complexity.” Landscape Ecology, 30(1): 181–192. Ech, M., S. Yotte, S. Morel, D. Breysse, and B. Pouteau (2007). “Laboratory evaluation of pavement macrotexture durability.” Revue Européenne de Génie Civil, 11(5): 643–662. El Gendy, A. E., and A. Shalaby (2007). “Mean profile depth of pavement surface macrotexture using photometric stereo techniques.” Journal of Transportation Engineering, 133(7): 433–440. El Gendy, A. E., and A. Shalaby (2008). “Image requirements for three-dimensional measurements of pave- ment macrotexture.” Transportation Research Record: Journal of the Transportation Research Board, 2068(1): 126–134. doi: 10.3141/2068-14 Feng, J. (2017). Separation of Tread­Pattern Noise in Tire­Pavement Interaction Noise. MS Thesis. Virginia Polytechnic Institute and State University, Blacksburg, VA. Ferne, B. (2015). “US’ Experiences on Pavement Texture Measurement and Interpretation.” Presented at 94th Annual Meeting of the Transportation Research Board, Washington, D.C.

122 Protocols for Network-Level Macrotexture Measurement Flintsch, G. W., E. de León Izeppi, K. K. McGhee, and J. A. Roa (2009). “Evaluation of international friction index coefficients for various devices.” Transportation Research Record: Journal of the Transportation Research Board, 2094(1): 136–143. doi: 10.3141/2094-15 Flintsch, G. W., E. de León, K. K. McGhee, and I. L. Al-Qadi (2003). “Pavement surface macrotexture measure- ment and applications.” Transportation Research Record: Journal of the Transportation Research Board, 1860(1): 168–177. doi: 10.3141/1860-19 Fuentes, L. G., and M. Gunaratne (2010). “Evaluation of the speed constant and its effect on the calibration of friction-measuring devices.” Transportation Research Record: Journal of the Transportation Research Board, 2155(1): 134–144. doi: 10.3141/2155-15 Goodman, S. N. (2009). “Quantification of pavement textural and frictional characteristics using digital image analysis.” PhD dissertation, Carleton University, Ottawa, Canada. Goubert, L. (2007). “Road Surface Texture and Traffic Noise.” Proceedings, NPRA workshop on Texture and Road Traffic Noise (February 14, 2007), Oslo, Norway. Goubert, L. (2016). “EU Project ROSANNE—ROlling Resistance, Skid Resistance, ANd Noise Emission Measure- ment Standards for Road Surfaces.” Presented at 94th Annual Meeting of the Transportation Research Board, Washington, D.C. Goubert, L., and A. Bergiers (2012). “About the Reproducibility of Texture Profiles and the Problem of Spikes.” Proceedings, 7th Symposium on Pavement Surface Characteristics: SURF 2012 (September 19–22, 2012), Norfolk, VA. Goubert, L., and S. Katicha (2018). “Spike Removal from Texture Profiles: A Comparison of Two Approaches.” Proceedings, 8th Symposium on Pavement Surface Characteristics: SURF 2018 (May 2–4, 2018), Brisbane, Queensland, Australia. Goubert, L., and U. Sandberg (2018). “Enveloping Texture Profiles for Better Modelling of the Rolling Resistance and Acoustic Qualities of Road Pavements.” Proceedings, 8th Symposium on Pavement Surface Characteristics: SURF 2018 (May 2–4, 2018), Brisbane, Queensland, Australia. Hair, J. F., C. M. Ringle, and M. Sarstedt (2011). “PLS-SEM: Indeed a silver bullet.” Journal of Marketing Theory and Practice, 19(2): 139–152. Hall, J. W., K. L. Smith, L. Titus-Glover, J. C. Wambold, T. J. Yager, and Z. Rado (2009). NCHRP Web­Only Document 108: Guide for Pavement Friction. Transportation Research Board, Washington, D.C. Harvey, J., J. D. Lea, and C. Kim (2016). “Simulation of Annual Excess Fuel Consumption from Pavement Structural Response for California Test Sections.” Presented at 95th Annual Meeting of the Transportation Research Board, Washington, D.C. Howerter, E. D., T. Rudd, and R. Sutermeister, R. (1977). Computer Evaluation of Pavement Texture. Federal Highway Administration, U.S. Department of Transportation, Technical Report FHWA-RD-78-37, Vol. 2. pp. 1–100. Huang, Y. (Robin), T. Copenhaver, P. Hempel, and M. Mikhail (2013). “Development of texture-measurement system based on continuous profiles from three-dimensional scanning system.” Transportation Research Record: Journal of the Transportation Research Board, 2367(1): 13–22. doi: 10.3141/2367-02 HydroTimer (n.d.). “Hydro Timer.” Brochure. Available at: http://www.hydrotimer.com/ (accessed May 2019). IWS Messtechnik (n.d.). “ELAtextur.” Brochure. Available at: http://www.iwsmesstechnik.de/elatextur (accessed May 2019). Kargah-Ostadi, N., and A. Howard (2015). “Monitoring pavement surface macrotexture and friction: case study.” Transportation Research Record: Journal of the Transportation Research Board, 2525(1): 111–117. doi: 10.3141/2525-12 Katicha, S. W., D. E. Mogrovejo, G. W. Flintsch, and E. de León Izeppi (2015). “Adaptive spike removal method for high-speed pavement macrotexture measurements by controlling the false discovery rate.” Transportation Research Record: Journal of the Transportation Research Board, 2525(1): 100–110. doi: 10.3141/2525-11 Klein, P., and J. Hamet (2004). “Road texture and rolling noise: An envelopment procedure for tire-road contact.” Rapport de recherche, 17 pp. Klein, P., J. Hamet, and F. Anfosso-Lédée (2004). “An Envelopment Procedure for Tire-Road Contact.” Presented at 5th Symposium on Pavement Surface Characteristics [of Roads and Airports]: SURF 2004 (June 6–10, 2004), Toronto, Ontario, Canada. Le Gal, A., L. Guy, G. Orange, Y. Bomal, and M. Klüppel (2008). “Modelling of sliding friction for carbon black and silica filled elastomers on road tracks.” Wear, 264(7): 606–615. Leandri, P., and M. Losa (2015). “Peak friction prediction model based on surface texture characteristics.” Transportation Research Record: Journal of the Transportation Research Board, 2525(1): 91–99. doi: 10.3141/ 2525-10 Liu, Q., M. Gonzalez, S. L. Tighe, and A. Shalaby (2016). “Three-dimensional surface texture of Portland cement concrete pavements containing nanosilica.” International Journal of Pavement Engineering, 1–8.

References 123   Liu, Q., L. Kavanagh, A. Shalaby, and B. I. Izevbekhai (2016). “Comparison of pavement texture measurements from a three-dimensional profiler and a circular track meter at MnROAD test facilities.” Transportation Research Record: Journal of the Transportation Research Board, 2591(1): 121–129. doi: 10.3141/2591-14 Mathworks (2016). Find Peaks [software], version © 2007, 2016, The MathWorks, Inc. McGhee, K. K., and G. W. Flintsch (2003). High­Speed Texture Measurement of Pavements. Virginia Transportation Research Council (VTRC 03-R9), Charlottesville, VA. Mogrovejo, D. E., G. W. Flintsch, S. W., Katicha, E. de León Izeppi, and K. K. McGhee (2016). “Enhancing pavement surface macrotexture characterization by using the effective area for water evacuation.” Transpor­ tation Research Record: Journal of the Transportation Research Board, 2591(1): 80–93. doi: 10.3141/2591-10 Nakkel, E. (1973). “Corrective measures for slipperiness—European view.” Journal of the Association of Asphalt Paving Technologists, 42: 366–400. Parry, A., and H. Viner (2005). Accidents and the Skidding Resistance Standard for Strategic Roads In England. TRL Report, TRL Ltd., Wokingham, Berkshire, UK. Perera, R., and L. Wiser (2013). “Comparison of MPD values from high-speed laser measurements with MPD from two stationary devices.” Presentation to Road Profilers Users Group (RPUG), San Antonio, TX. PIARC (2016). “Road Dictionary.” Available at: http://www.piarc.org/en/Terminology-Dictionaries-Road- Transport-Roads/ (accessed January 26, 2019). Pierce, L. M., G. McGovern, and K. A. Zimmerman (2013). Practical Guide for Quality Management of Pavement Condition Data Collection. Federal Highway Administration, U.S. Department of Transportation. Praticò, F. G., R. Fedele, and D. Vizzari (2017). “Significance and reliability of absorption spectra of quiet pavements.” Construction and Building Materials, 140: 274–281. Rado, Z., and M. Kane (2014). “An initial attempt to develop an empirical relation between texture and pavement friction using the HHT approach.” Wear, 309(1): 233–246. Roe, P. G., A. R. Parry, and H. E. Viner (1998). High and Low Speed Skidding Resistance: The Influence of Texture Depth. TRL Ltd., Crowthorne, Berkshire, UK. Roe, P. G., D. C. Webster, and G. West (1991). The Relation Between the Surface Texture of Roads and Accidents. TRL Ltd., Crowthorne, Berkshire, UK. ROSANNE (n.d.). ROSANNE: website. Available at: http://rosanne-project.eu (accessed May 2019). Sandberg, U., A. Bergiers, J. A. Ejsmont, L. Goubert, R. Karlsson, and M. Zöller (2011). “Road surface influ- ence on tyre/road rolling resistance.” Models for Rolling Resistance in Road Infrastructure Asset Management Systems (MIRIAM). Available at: http://www.miriam-co2.net/Publications/MIRIAM_SP1_Road-Surf-Infl_ Report%20111231.pdf (accessed May 2019). Sanders, P. D., K. Morosiuk, and J. R. Peeling (2014). Road Surface Properties and High Speed Friction. TRL Ltd., Crowthorne, Berkshire, UK. Scharnigg, K., G. Schwalbe, and M. Haider (2011). “TYROSAFE: Tyre and Road Surface Optimisation for Skid Resistance and Further Effects.” Presented at 3d International Road Surface Friction Conference: Safer Road Surfaces—Saving Lives (May 15–18, 2011), Gold Coast, Australia. Schleppi, B. L., M. Y. Maikhail, and G. K. Chang (2016). Transportation Research E­Circular E­C216: Inter­ national Experience and Perspective of Pavement Texture Measurements and Evaluation. Transportation Research Board, Washington, D.C. Available at: http://onlinepubs.trb.org/Onlinepubs/circulars/ec216.pdf. Schonfeld, R. (1970). Skid Numbers from Stereo­Photographs. Ontario Department of Highway, Ontario, Canada. Sohaney, R. C., and R. O. Rasmussen (2013). Pavement Texture Evaluation and Relationships to Rolling Resistance at MnROAD. Department of Transportation, Research Services Section. Srirangam, S. K., K. Anupam, C. Kasbergen, A. Scarpas, and V. Cerezo (2015). “Study of influence of operating parameters on braking friction and rolling resistance.” Transportation Research Record: Journal of the Trans­ portation Research Board, 2525(1): 79–90. doi: 10.3141/2525-09 Stroup-Gardiner, M., C. T. Wagner, T. Hodgson, and J. Sain (2003). “Effect of Temperature Differentials on Density and Smoothness.” American Society for Testing and Materials, pp. 127–141. The Highways Agency (1999). Design Manual for Roads and Bridges, Volume 7: Pavement Design and Mainte­ nance. The Highways Agency, 623. Tibshirani, R. (1996). “Regression shrinkage and selection via the lasso.” Journal of the Royal Statistical Society, Series B (Methodological), 267–288. TPF-5(141) (n.d.). Pavement Surface Properties Consortium: A Research Program. TPF-5(141) Final Report 2007–2015, Transportation Pooled Fund 5-141. Available at: https://www.pooledfund.org/Details/ Study/371 (accessed April 2020). TPF-5(345) (n.d.). “Pavement Surface Properties Consortium—Managing the Pavement Properties for Improved Safety,” Study Number TPF-5(345). Transportation Pooled Fund Program (website). Available at: https:// www.pooledfund.org/Details/Study/594 (accessed April 2020). TRANSTEC (n.d.). “Robotic Pavement Texture Profiler.” Brochure. Available at: http://www.thetranstecgroup. com/pavement-engineers-release-updated-robotic-pavement-texture-profiler/ (accessed May 2019).

124 Protocols for Network-Level Macrotexture Measurement Tsai, Y., and Z. Wang (2015). Development of an Asphalt Pavement Raveling Detection Algorithm Using Emerging 3D Laser Technology and Macrotexture Analysis. Final Report for NCHRP IDEA Project 163, Transporta- tion Research Board, Washington, D.C. 50 pp. Available at: http://onlinepubs.trb.org/onlinepubs/IDEA/ FinalReports/Highway/NCHRP163_Final_Report.pdf Viner, H., P. Abbott, A. Dunford, N. Dhillon, L. Parsley, and C. Read (2006). Surface Texture Measurement on Local Roads. Published Project Report PPR148, TRL Ltd., Wokingham, Berkshire, UK. Von Meier, A., G. Van Blokland, and G. Descornet (1992). “The Influence of Texture and Sound Absorption on the Noise of Porous Road Surfaces.” Proceedings, 2nd International Symposium on Road Surface Characteristics (June 1992), Berlin, Germany. Vos, E., and J. Groenendijk (2009). Report on Analysis of Previous Skid Resistance Harmonization Research Projects. FEHRL, Brussels, Belgium. Wambold, J., C. Antle, J. Henry, Z. Rado, G. Descornet, U. Sandberg, M. Gothié, and S. Huschek (1995). International PIARC Experiment to Compare and Harmonize Skid Resistance and Texture Measurements, Paris. PIARC Publication No. 01.04. PIARC, Paris, France. WDM Ltd. (n.d.). “TM2.” Brochure. Available at: http://www.wdm.co.uk/news/tm2 (accessed May 2019). Wennink, M., and W. Gerritsen (2000). “Detection of changes of pavement texture material recognition.” Proceedings,4th International Symposium on Pavement Surface Characteristics on Roads and Airfields (May 22–24, 2000), Nantes, France. Wix, R., and R. Leschinski (2010). “How Coarse Was My Texture?” Proceedings, 24th ARRB Conference (October 12–15, 2010), Melbourne, Victoria, Australia. Yager, T. J. (2005). “An Overview of the Annual NASA Tire/Runway Friction Workshop and Lessons Learned.” Unpublished report. Zelelew, H., A. Papagiannakis, and E. de León Izeppi (2013). “Pavement macro-texture analysis using wavelets.” International Journal of Pavement Engineering, 14(8), 725–735.

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 Protocols for Network-Level Macrotexture Measurement
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Macrotexture, which influences vehicle-roadway skid resistance, refers to the texture of the pavement due to the arrangement of aggregate particles. Pavement surfaces are subjected to seasonal variations, and over time the embedded aggregates become polished due to the onslaught of traffic. Research has shown that wet-weather crashes are influenced by the macrotexture of the pavement surface.

The TRB National Cooperative Highway Research Program's NCHRP Research Report 964: Protocols for Network-Level Macrotexture Measurement provides state transportation pavement engineers and other practitioners with recommended protocols for macrotexture test measures, equipment specifications, and data quality assurance practices.

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