Pavement serviceability evaluation using whole body vibration techniques: a case study for urban roads

References

• AASHTO, 1993. AASHTO guide for design of pavement structures. Washington, DC: The Association.
   Google Scholar
• ABC, 2011. Manual de Diseño de Conservación Vial. La Paz: Administradora Boliviana de Carreteras.
   Google Scholar
• Abudinen, D., Fuentes, L.G., and Muñoz, J.S.C., 2017. Travel quality assessment of urban roads based on international roughness index: case study in Colombia. Transportation Research Record: Journal of the Transportation Research Board, 2612, 1–10. doi: 10.3141/2612-01
   Web of Science ®Google Scholar
• Ahlin, K. and Granlund, N.O.J., 2002. Relating road roughness and vehicle speeds to human whole body vibration and exposure limits. International Journal of Pavement Engineering, 3 (4), 207–216. doi: 10.1080/10298430210001701
   Google Scholar
• Aleadelat, W., Saha, P., and Ksaibati, K., 2016. Development of serviceability prediction model for county paved roads. International Journal of Pavement Engineering, 19 (6), 526–533. doi: 10.1080/10298436.2016.1176167
   Web of Science ®Google Scholar
• American Association of State Highway Officials (AASHO), 1962a. Special report 61E: the AASHO road test. Report 5: pavement research. Washington, DC.
   Google Scholar
• American Association of State Highway Officials (AASHO), 1962b. Special report 61G: the AASHO road test. Report 7: summary report. Washington, DC.
   Google Scholar
• Arellana, J., et al., 2019. Multivariate analysis of user perceptions about the serviceability of urban roads: case of Barranquilla. International Journal of Pavement Engineering, 1–10. doi:10.1080/10298436.2019.1577420.
   Web of Science ®Google Scholar
• Arhin, S.A., Noel, E.C., and Ribbiso, A., 2015. Acceptable international roughness index thresholds based on present serviceability rating. Journal of Civil Engineering Research, 5 (4), 90–96.
   Google Scholar
• ASTM, 2015. ASTM E1926-08: standard practice for computing international roughness index of roads from longitudinal profile measurements. West Conshohocken: ASTM International. Available from: www.astm.org.
   Google Scholar
• ASTM, 2017. ASTM E1364-95: standard test method for measuring road roughness by static level method. West Conshohocken: ASTM International. Available from: www.astm.org.
   Google Scholar
• ASTM, 2018a. ASTM E1927-98: standard guide for conducting subjective pavement ride quality ratings. West Conshohocken: ASTM International. Available from: www.astm.org.
   Google Scholar
• ASTM, 2018b. ASTM e950 / E950M - 09: standard test method for measuring the longitudinal profile of traveled surfaces with an accelerometer-established inertial profiling reference. West Conshohocken: ASTM International. Available from: www.astm.org.
   Google Scholar
• Cantisani, G. and Loprencipe, G., 2010. Road roughness and whole body vibration: evaluation tools and comfort limits. Journal of Transportation Engineering, 136 (9), 818–826. doi: 10.1061/(ASCE)TE.1943-5436.0000143
   Web of Science ®Google Scholar
• Carey, W.N. and Irick, P.E., 1960. The pavement serviceability-performance concept. Bulletin, 250, 40–58.
   Google Scholar
• FHWA, 2015. Status of the nation’s highways, bridges, and transit: conditions & performance. Report to Congress. U.S. Department of Transportation.
   Google Scholar
• Fuentes, L., et al., 2019. Modelling pavement serviceability of urban roads using deterministic and probabilistic approaches. International Journal of Pavement Engineering. doi:10.1080/10298436.2019.1577422.
   Web of Science ®Google Scholar
• Hosmer, D.W., Lemeshow, S., and Sturdivant, R.X., 2013. Applied logistic regression. New York: John Wiley & Sons, Incorporated.
   Google Scholar
• ICPA, 2014. Manual de Diseño y Construcción de Pavimentos de Hormigón. Buenos Aires: Instituto del Cemento Portland Argentino.
   Google Scholar
• INVIAS, 2015. Manual de Diseño de Pavimentos Asfálticos en Vías con Medios y Altos Volúmenes de Tránsito. Bogota: Ministerio de Transporte de la República de Colombia.
   Google Scholar
• ISO, 1997. ISO 2631-1: mechanical vibration and shock – evaluation of human exposure to whole-body vibration - part 1: general requirement. Geneva: ISO. Available from: www.iso.org.
   Google Scholar
• Kırbaş, U. and Karaşahin, M., 2018. Investigation of ride comfort limits on urban asphalt concrete pavements. International Journal of Pavement Engineering, 19 (10), 949–955. doi: 10.1080/10298436.2016.1224413
   Web of Science ®Google Scholar
• Kırbaş, U. and Karaşahin, M., 2019. Determination of pavement performance thresholds for comfortable riding on urban roads. Journal of Testing and Evaluation, 47 (1), 57–77. doi: 10.1520/JTE20170319
   Web of Science ®Google Scholar
• Kropác, O. and Múcka, P., 2006. Effect of obstacles on the indicators of road unevenness. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 220 (10), 1333–1343.
   Google Scholar
• La Torre, F., Ballerini, L., and Di Volo, N., 2002. Correlation between longitudinal roughness and user perception in urban areas. Transportation Research Record: Journal of the Transportation Research Board, 1806, 131–139. doi: 10.3141/1806-15
   Google Scholar
• Loizos, A. and Plati, C., 2008. An alternative approach to pavement roughness evaluation. International Journal of Pavement Engineering, 9 (1), 69–78. doi: 10.1080/10298430600949894
   Google Scholar
• Loprencipe, G. and Pantuso, A., 2017. A specified procedure for distress identification and assessment for urban road surfaces based on PCI. Coatings, 7 (65), 26.
   Google Scholar
• Loprencipe, G., Zoccali, P., and Cantisani, G., 2019. Effects of vehicular speed on the assessment of pavement road roughness. Applied Sciences, 9 (9), 1783. doi: 10.3390/app9091783
   Google Scholar
• MATLAB, 2017. MATLAB, version R2017a. The MathWorks Inc. Available from: https://la.mathworks.com/products/matlab.html.
   Google Scholar
• Múčka, P., 2016. Current approaches to quantify the longitudinal road roughness. International Journal of Pavement Engineering, 17 (8), 659–679. doi: 10.1080/10298436.2015.1011782
   Web of Science ®Google Scholar
• Múčka, P., 2017a. International roughness index specifications around the world. Road Materials and Pavement Design, 18 (4), 929–965. doi: 10.1080/14680629.2016.1197144
   Web of Science ®Google Scholar
• Múčka, P., 2017b. Road roughness limit values based on measured vehicle vibration. Journal of Infrastructure Systems, 23 (2), 04016029. doi: 10.1061/(ASCE)IS.1943-555X.0000325
   Web of Science ®Google Scholar
• Navidi, W.C., 2008. Statistics for engineers and scientists. New York: McGraw-Hill Higher Education.
   Google Scholar
• Nguyen, T., et al., 2019. Bus ride index – a refined approach to evaluating road surface irregularities. Road Materials and Pavement Design. doi:10.1080/14680629.2019.1625806.
   Web of Science ®Google Scholar
• Paterson, W.D.O., 1987. Road deterioration and maintenance effects: models for planning and management. Washington, DC: The World Bank.
   Google Scholar
• Perera, R. and Kohn, S., 2004. Effects of variation in quarter-car simulation speed on international roughness index algorithm. Transportation Research Record: Journal of the Transportation Research Board, 1889 (1), 144–151. doi: 10.3141/1889-16
   Google Scholar
• Sayers, M.W., 1995. On the calculation of international roughness index from longitudinal road profile. Transportation Research Record, 1501, 1–12.
   Google Scholar
• Sayers, M.W., Gillespie, T.D., and Paterson, W.D.O., 1986a. Guidelines for conducting and calibrating road roughness measurements. Washington, DC: The World Bank.
   Google Scholar
• Sayers, M.W., Gillespie, T.D., and Queiroz, C.A., 1986b. The international road roughness experiment: establishing correlation and a calibration standard for measurements. Washington, DC: The World Bank.
   Google Scholar
• SPSS, 2017. IBM SPSS statistics for windows, version 25.0. IBM Corporation. Available from: https://www.ibm.com/analytics/spss-statistics-software.
   Google Scholar
• Yu, J., Eddie, Y.J.C., and Yau, J.T., 2006. Development of speed-related ride quality thresholds using international roughness index. Transportation Research Record No. 1974, TRB, Washington, DC, 47–53.
   Google Scholar