Share:


Road pavement longitudinal evenness quantification as stationary stochastic process

Abstract

One of the requirements concerning pavement quality is the evenness of its surface. Pavement unevenness has a random character and has an adverse influence to rolling resistance, tyre–pavement coherence, safety and the driving comfort. Knowledge of “longitudinal unevenness” has been long recognized as an important criteria of road performance, not only for safety by causing vehicle vibrations and affecting ride comfort but also as a major factor in pavement deterioration and working conditions of vehicles. The paper presents two original devices for the measurement of pavement longitudinal unevenness designed as a reaction to results and experiences gathered from a few years’ research activities, measurements and evaluations of road pavement evenness carried out in the authors' work place (University of Žilina – UNIZA). The first equipment has been designed as a single-wheel trailing vehicle and has been constructed on the Double-mass Measuring Set (DMS) principle and it is referred to as UNIZA single-wheel vehicle JP VSDS. The main reason for designing the device were authors’ findings that the reference quarter car model (used for calculation of International Roughness Index – IRI) can provide evaluation, which can be in contradiction with ride safety. This fact is determined by overvaluation of the short wavelengths and undervaluation the longer wavelengths by reference model. The second one is a profiler with very high resolution of surface scanning using mathematical models for unevenness evaluation. The device is referred to as Dynamic Road Scanner (DRS). The reason for designing of this equipment was in the first place insufficient repeatability of transversal unevenness measurements of device used by Slovak Road Administration, but for the purpose of correctness and measurements accuracy verifying were also results of longitudinal unevenness measurements compared. The paper presents results of evaluation by international established dynamic quantifiers of longitudinal unevenness based on measurements performed by these devices on three selected road sections in Slovakia. In the next part of the paper are compared IRI values obtained by mathematical calculations using reference quarter car model “driving” on road section profile measured by geodetic survey with IRI values obtained by conversion of the unevenness degree C (measured by UNIZA single-wheel vehicle JP VSDS) and IRI values measured by profilometer DRS.

Keyword : pavement, longitudinal evenness, stationary stochastic process, power spectral density, single-wheel vehicle, dynamic response, acceleration, international roughness index, surface scanning

How to Cite
Leitner, B., Decký, M., & Kováč, M. (2019). Road pavement longitudinal evenness quantification as stationary stochastic process. Transport, 34(2), 195-203. https://doi.org/10.3846/transport.2019.8577
Published in Issue
Feb 27, 2019
Abstract Views
1478
PDF Downloads
884
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Cantisani, G.; Loprencipe, G. 2010. Road roughness and whole body vibration: evaluation tools and comfort limits, Journal of Transportation Engineering 136(9): 818–826. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000143

Celko, J.; Decky, M.; Komacka, J.; Kovac, M. 2008. Pavement diagnosis as integrant of the pavement management system, Komunikácie: vedecké listy Žilinskej univerzity – Communications: Scientific Letters of the University of Žilina (2): 44–49.

Celko, J.; Decky, M.; Kovác, M. 2009. An analysis of vehicle–road surface interaction for classification of IRI in the frame of Slovak PMS, Eksploatacja i Niezawodność – Maintenance and Reliability (1): 15–21.

Chemistruck, H. M.; Detweiler, Z. R.; Ferris, J. B.; Reid. A. A.; Gorsich. D. J. 2009. Review of current developments in terrain, Proceedings SPIE 7348: 1–12. https://doi.org/10.1117/12.818128

Decký, M. 1999. Comparison of dynamic methods of road pavement evenness evaluation, Komunikácie: vedecké listy Žilinskej univerzity – Communications: Scientific Letters of the University of Žilina (2): 22–32.

Decký, M. 1996. Hodnotenie pozdĺžnych nerovností cestných vozoviek meracou sústavou VŠDS. Dizertačná práca. Žilinská univerzita v Žiline, Slovenská republika. 134 p. (in Slovak).

Decký, M.; Kováč, M. 2014. Pozdĺžna rovnosť vozoviek pozemných komunikácií. Edis. 222 s. (in Slovak).

Decký, M.; Leitner, B.; Kováč. M. 2004a. Klasifikácia rovnosti vozoviek zohľadňujúca dynamiku reálneho automobilu. 1. časť, Silniční obzor 2: 49–54 (in Slovak).

Decký, M.; Leitner, B.; Kováč. M. 2004b. Klasifikácia rovnosti vozoviek zohľadňujúca dynamiku reálneho automobile. 2. časť, Silniční obzor 3: 80–82 (in Slovak).

Delanne, Y.; Pereira, P.A.A. 2001. Advantages and limits of different road roughness profile signal-processing procedures applied in Europe, Transportation Research Record: Journal of the Transportation Research Board 1764: 254–259. https://doi.org/10.3141/1764-26

EN 13036-5:2014. Road and Airfield Surface Characteristics. Test Methods. Part 5: Determination of Longitudinal Unevenness Indices.

Kotek, P.; Kovac, M.; Decky, M. 2015. The comparison of standard methods for pavement texture evaluation with unconventional approach using 3D scanning, SGEM2015 Conference Proceedings 1(2): 1167–1174. https://doi.org/10.5593/SGEM2015/B21/S10.149

Kropáč, O.; Múčka, P. 2009. Effects of longitudinal road waviness on vehicle vibration response, Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility 47(2): 135–153. https://doi.org/10.1080/00423110701867299

Kropáč, O.; Múčka, P. 2006. Indicators of longitudinal unevenness of roads/runways, Czech Aerospace Proceedings (1): 34–45.

Mikolaj, J.; Remek, L.; Pepucha, L. 2014. Overview of the road network management system, Komunikácie: vedecké listy Žilinskej univerzity – Communications: Scientific Letters of the University of Žilina (4): 53–57.

Mikolaj, J.; Schlosser, F.; Remek, L. 2013. Life-cycle cost analysis in pavement management system, Komunikácie: vedecké listy Žilinskej univerzity – Communications: Scientific Letters of the University of Žilina (3): 102–106.

Múčka, P. 2015. Sensitivity of road unevenness indicators to distresses of composite pavements, International Journal of Pavement Research and Technology 8(2): 72–84. https://doi.org/10.6135/ijprt.org.tw/2015.8(2).72

Praticò, F. 2004. Nonstrictly-ergodic signals in road roughness analyses: a theoretical and experimental study, Proceedings of SIIV 2004 – II International Congress – New technologies and Modeling Tools for Roads – Applications to Design and Management, 27–29 October 2004, Florence, Italy.

Sayers, M. W. 1995. On the calculation of international roughness index from longitudinal road profile, Transportation Research Record 1501: 1–12.

Sayers, M. W.; Gillespie, T. D.; Queiroz. C. A. V. 1986. The International Road Roughness Experiment (IRRE): Eestablishing Correlation and a Calibration Standard for Measurements. World Bank Technical Paper No 45. Washington. DC, US. 468 p. Available from Internet: http://documents.worldbank.org/curated/en/326081468740204115

Wilde, W. J. 2007. Implementation of an International Roughness Index for Mn/DOT Pavement Construction and Rehabilitation. Report MN/RC-2007-09. Research Services Section. Minnesota Department of Transportation, Saint Paul, MN, US. 133 p. Available from Internet: http://dotapp7.dot.state.mn.us/research/pdf/200709.pdf

Willett, M.; Magnusson, G.; Ferne, B. W. 2000. Filter Experiment – Theoretical Study of Indices. FEHRL Technical Note 2000/02. Transport Research Laboratory. Crowthorne, Berkshire. UK. 51 p.