Latest Development in the Processing of Pavement Macrotexture Measurements of High Speed Laser Devices

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dc.contributorVirginia Tech Transportation Instituteen
dc.contributorPierce, Lindaen
dc.contributor.authorKaticha, Samer W.en
dc.contributor.authorMogrovejo, Daniel E.en
dc.contributor.authorFlintsch, Gerardo W.en
dc.contributor.authorde León Izeppi, Edgaren
dc.contributor.authorCarrasco, Daniel M.en
dc.date.accessed2015-07-06en
dc.date.accessioned2015-08-11T18:46:26Zen
dc.date.available2015-08-11T18:46:26Zen
dc.date.issued2015-06-04en
dc.description.abstractPavement macrotexture is an important property that affects tire-pavement interactions like friction, tire pavement noise, splash and spray, and rolling resistance. Macrotexture measurement is generally divided into two classes: static measurements and dynamic measurements. Dynamic measurements are performed with vehicle mounted lasers that measure macrotexture at traffic speed. One drawback of these laser devices is the presence of "spikes" in the collected data which causes erroneous texture measurements. In this paper, we develop a data driven adaptive method that detects and removes the spikes from high speed laser texture measurements. The method is based on the discrete wavelet transform and can be summarized in the following three steps: (1) calculate the discrete wavelet transform of texture measurements, (2) detect and remove the "spikes" from the obtained wavelet coefficients, and (3) calculate the inverse discrete wavelet transform with the processed wavelet coefficients to obtain Mean Profile Depth (MPD) measurements with the "spikes" removed. The crucial step in the proposed method is step 2 which we detail in this paper. We compare the results of calculated MPD obtained by removing the "spikes" with the proposed method with the results obtained without removing the "spikes", and validate the proposed method with MPD measurements obtained with a Circular Texture Meter (CTMeter).en
dc.description.notesPresented during Session 13: Skid, Safety and Texture, moderated by Seosamh Costello, at the 9th International Conference on Managing Pavement Assets (ICMPA9) in Alexandria, VA.en
dc.description.notesIncludes conference paper and PowerPoint slides.en
dc.format.extent13 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKaticha, S., Mogrovejo, D. E., Flintsch, G. W., de León Izeppi, E., & Carrasco, D. M. (2015, June). Latest development in the processing of pavement macrotexture measurements of high speed laser devices. Paper presented at the 9th International Conference on Managing Pavement Assets, Alexandria, VA. Presentation retrieved from www.apps.vtti.vt.edu/PDFs/icmpa9/session13/Katicha.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/56396en
dc.identifier.urlwww.apps.vtti.vt.edu/PDFs/icmpa9/session13/Katicha.pdfen
dc.language.isoen_USen
dc.relation.ispartof9th International Conference on Managing Pavement Assetsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleLatest Development in the Processing of Pavement Macrotexture Measurements of High Speed Laser Devicesen
dc.typePresentationen
dc.type.dcmitypeTexten

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