Specification of Obstacles in the Longitudinal Road Profile by Median Filtering
Publication: Journal of Transportation Engineering
Volume 137, Issue 3
Abstract
Separation of large obstacles from longitudinal road profiles using median filtering is presented. Detailed testing of this method confirms its ability to remove large obstacles without corrupting the random component of the road profile. At the same time, optimal length of the window as the ceiling of double the maximum obstacle length is estimated. For the specification of individual obstacles, six indicators are introduced, namely, obstacle length, maximum obstacle height, ratio of obstacle length to its maximum height, area of the obstacle profile, obstacle volume, and distance between two successive obstacles. About 23,400 records of road profiles gathered from the Long Term Pavement Performance (LTPP) program were processed from which 5,036 profiles displayed obstacles higher than 0.3 cm. A total number of 16,590 obstacles were detected. Statistical processing of all of these profiles to distinguish between asphalt concrete (AC) and portland cement concrete (CC) road surfaces and between bumps (B) and potholes (P) identified that 71% of all obstacles belong to the AC+P combination. In the appendix, correction factors (CF) are presented, allowing the elimination of bias attributable to preprocessing operations applied on LTPP profile records used for estimation of true obstacle dimensions.
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Acknowledgments
This work has been partially undertaken within the Grant No. UNSPECIFIED2/0075/10 of the VEGA Grant Agency of Slovak Academy of Sciences. The writers are indebted to John B. Ferris, Ph.D. (Vehicle Terrain Performance Laboratory of Virginia Tech) and his colleagues for help with English language correction. Further, the writers highly appreciate the voluminous work conducted by the LTPP team and additional information provided by the LTPP Customer Service. Finally, we would like to thank the anonymous reviewers for their valuable comments.
References
Andrén, P. (2006). “Power spectral density approximations of longitudinal road profiles.” Int. J. Veh. Des., 40(1/2/3), 2–14.
DataPave Online. (2005). Release 20, Federal Highway Administration, 〈http://www.datapave.com〉 (Dec. 10, 2005).
DeBord, K. J. (1995). “Runway roughness measurement, quantification, and application—the Boeing Method.” Boeing Document No. D6-81746, Boeing, Seattle.
European Committee for Standardization (CEN). (2006). “Road and airfield surface characteristics—Test methods. Part 5: Determination of longitudinal unevenness indices.” EN 13036-5:2006, Brussels.
Fernando, E., and Bertrand, C. (2002). “Application of profile data to detect localized roughness.” Transportation Research Record 1813, Transportation Research Board, Washington, DC, 55–61.
Ferris, J. B. (2001). “Singular value decomposition of road events into characteristic shapes.” Proc., ASME Int. Mech. Eng. Congress and Exposition, ASME, New York, 1067–1072.
Gagarin, N., Huang, N. E., Oskard, M. S., Sixbey, D. G., and Mekemson, J. R. (2004). “The application of the Hilbert-Huang transform to the analysis of inertial profiles of pavements.” Int. J. Veh. Des., 36(2/3), 287–301.
Haavisto, P. (1993). “Median filters.” Handbook for digital signal processing, S. K. Mitra and J. F. Kaiser, eds., Wiley-Interscience, New York, 953–980.
Huang, T. S., ed. (1981). Two-dimensional digital signal processing II: Transforms and median filters. Springer, Berlin.
ISO. (1995). “Mechanical vibration—Road surface profiles—Reporting of measured data.” ISO 8608:1995, Geneva.
Karamihas, S. M. (2005). “Long-term pavement performance road profile data.” 〈http://www.umtri.umich.edu/erd/roughness/ltpp_erd.html〉 (Jan. 17, 2005).
Kropáč, O., and Múčka, P. (2006). “Effect of obstacles on the indicators of road unevenness.” Proc. Inst. Mech. Eng. D, 220(10), 1333–1343.
Kropáč, O., and Múčka, P. (2008a). “Indicators of longitudinal unevenness of roads in the USA.” Int. J. Vehicle Des., 46(4), 393–415.
Kropáč, O., and Múčka, P. (2008b). “Effect of obstacles in the road profile on the dynamic response of a vehicle.” Proc. Inst. Mech. Eng. D, 222(3), 353–370.
Mallat, M. (1998). A wavelet tour to signal processing, Academic, San Diego.
McGhee, K. H. (2004). “Automated pavement distress collection techniques—A synthesis of highway practice.” National Cooperative Highway Research Program (NCHRP) Synthesis 334, Transportation Research Board, Washington, DC, 92.
Miller, J. S., and Bellinger, W. Y. (2003). “Distress identification manual for the Long-Term Pavement Performance program.” Report No. FHWA-RD-03-03, Office of Infrastructure Research and Development, Federal Highway Administration, McLean, VA.
Mitschke, M., Klingner, B., and Braun, H. (1995). “Allowable amplitudes and wavelengths of road roughness—Influence of individual obstacles and periodicities on ride comfort, roads-, vehicle- and cargo-loading and driving safety.” Forschung Strassenbau und Strassenverkehrstechnik, Issue 710, Federal Ministry of Transport, Bonn-Bad Godesberg, Germany (in German).
moving_average Version 3.1 [Computer software]. 〈http://www.mathworks.com/matlabcentral/fileexchange/12276〉 (July 8, 2009).
Nigam, N. C., and Narayanan, S. (1976). Applications of random vibration, Springer, Berlin.
Oguri, N., Himeno, K., Kawamura, A., and Nakamura, R. (2000). “Application of wavelet analysis on evaluation of roughness of pavement surfaces.” Proc., 4th Int. Symp. on Pavement Surface Characteristics of Roads and Airfields (SURF 2000), Association Mondiale de la Route (World Road Association), La Defense Cedex, France, 57–66.
Öijer, F., and Edlund, S. (2004). “Identification of transient road obstacle distributions and their impact on vehicle durability and driver comfort.” Vehicle Syst. Dyn., 41, 744–753.
Pacejka, H. B. (2002). Tyre and vehicle dynamics, Butterworth-Heinemann, Oxford, UK.
Perera, R., Kohn, S. D., and Wiser, L. (2005). “LTPP profile data—15 years of data collection.” Proc., 17th Annual Road Profiler User's Group Meeting, Road Profile Users’ Group, Okemos, MI.
Pitas, L., and Venetsanopoulos, A. N. (1990). Nonlinear digital filters, Kluwer Academic, Boston.
Praticò, F. (2004). “Nonstrictly-ergodic signals in road roughness analyses: A theoretical and experimental study.” Proc., 2nd Int. Congress Societa Italiana Infrastrutture Viarie: New Technologies and Modeling Tools for Roads—Application to design and management, Univ. of Florence, Florence, Italy.
Robson, J. D., and Dodds, C. J. (1975). “Stochastic road inputs and vehicle response.” Veh. Syst. Dyn., 5(1), 1–13.
Rouillard, V. (2008). “Generating road vibration test schedules from pavement profiles for packaging optimization.” Packag. Technol. Sci., 21(8), 501–514.
Rouillard, V., Sek, M. A., and Bruscella, B. (2001). “Simulation of road surface profiles.” J. Transp. Eng., 127(3), 247–253.
Sayers, M. W. (1990). “Profiles of roughness.” Transportation Research Record 1260, Transportation Research Board, Washington, DC, 106–111.
Steinwolf, A. (2006). “Closed-loop shaker simulation of non-Gaussian random vibrations—Part 1: Discussion and methods.” TEST Eng. Manage., 68(3), 10–13.
Steinwolf, A., and Connon, W. H., III. (2005). “Limitations of the Fourier transform for describing test course profiles.” Sound Vib., 39(2), 12–17.
Steinwolf, A., Giacomin, J. A., and Staszewski, W. J. (2002). “On the need for bump event correction in vibration test profiles representing road excitations in automobiles.” Proc. Inst. Mech. Eng. D, 216(4), 279–295.
Ueckermann, A., and Steinauer, B. (2008). “The weighted longitudinal profile. A new method to evaluate the longitudinal evenness of roads.” Road Mater. Pavement Des., 9(2), 135–157.
Wang, K. C. P., Gong, W., Li, X., Elliott, R. P., and Daleiden, J. (2002). “Data analysis of real-time system for automated distress survey.” Transportation Research Record 1806, Transportation Research Board, Washington, DC, 101–109.
Wei, L., Fwa, T. F., and Zhe, Z. (2005). “Wavelet analysis and interpretation of road roughness.” J. Transp. Eng., 131(2), 120–130.
World Bank. (2006). “Procurement of works and services under output- and performance-based road contracts and sample specifications.” Sample Bidding Document, World Bank, Washington, DC, 251.
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Published In
Journal of Transportation Engineering
Volume 137 • Issue 3 • March 2011
Pages: 214 - 226
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jan 29, 2009
Accepted: Jul 23, 2010
Published online: Jul 26, 2010
Published in print: Mar 1, 2011
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