Rigid pavement performance models by means of Markov Chains with half-year step time

References

• AASHTO , 1993. Guide for design of pavement structures . Washington, DC: American Association of State Highway and Transportation Officials.
   Google Scholar
• AASHTO , 2012. Pavement management guide . 2nd ed. Washington, DC: American Association of State Highway and Transportation Officials.
   Google Scholar
• Abaza, K.A. , 2016a. Simplified staged-homogenous Markov model for flexible pavement performance prediction. Road Materials and Pavement Design , 17 (2), 365–381.10.1080/14680629.2015.1083464
   Web of Science ®Google Scholar
• Abaza, K.A. , 2016b. Back-calculation of transition probabilities for Markovian-based pavement performance prediction models. International Journal of Pavement Engineering , 17 (3), 253–264.10.1080/10298436.2014.993185
   Web of Science ®Google Scholar
• Abaza, O.A. and Mullin, A.P. , 2013. Modeling of pavement deterioration in cold regions . J.E. Zufelt , ed., 10th International symposium on cold regions development 2013: planning for sustainable cold regions, 2–5 June 2013 anchorage. Alaska: ASCE, 416–427.
   Google Scholar
• Abaza, K.A. and Murad, M.M. , 2007. Dynamic probabilistic approach for long-term pavement restoration program with added user cost. Transportation Research Record: Journal of the Transportation Research Board , 1990, 48–56.10.3141/1990-06
   Web of Science ®Google Scholar
• Abaza, K.A. and Murad, M.M. , 2009. Predicting flexible pavement remaining strength and overlay design thickness with stochastic modeling. Transportation Research Record: Journal of the Transportation Research Board , 2094, 62–70.10.3141/2094-07
   Web of Science ®Google Scholar
• Adedimila, A.S. , Olutaiwo, A.O. , and Kehinde, O. , 2009. Markovian probabilistic pavement performance prediction models for a developing country. Journal of Engineering and Applied Sciences , 4 (1), 13–26.
   Google Scholar
• Amin, M.S.R. , 2015. The pavement performance modeling: deterministic vs. stochastic approaches. S. Kadry and A. El Hami , eds., Numerical methods for reliability and safety assessment . Switzerland: Springer International, 179–196.
   Google Scholar
• Baik, H.-S. , Jeong, H.J. , and Abraham, D.M. , 2006. Estimating transition probabilities in Markov chain-based deterioration models for management of wastewater systems. Journal of Water Resources Planning and Management , 132 (1), 15–24.10.1061/(ASCE)0733-9496(2006)132:1(15)
   Web of Science ®Google Scholar
• Baus, R.L . and Henderson, A.T ., 2008. Development of improved rideability specifications for rigid pavements and bridge decks . Columbia, SC: University of South Carolina, Department of Civil and Environmental Engineering, Report No. FHWA-SC-08-02.
   Google Scholar
• Butt, A.A. , et al ., 1987. Pavement performance prediction model using the Markov process. Transportation Research Record: Journal of the Transportation Research Board , 1123, 12–19.
   Google Scholar
• Carnahan, J.V. , 1988. Analytical framework for optimizing pavement maintenance. Journal of Transportation Engineering , 114 (3), 307–322.10.1061/(ASCE)0733-947X(1988)114:3(307)
   Web of Science ®Google Scholar
• Chang, G , et al ., 2010. Impact of temperature curling and moisture warping on jointed concrete pavement performance . Washington, DC: Federal Highway Administration, TechBrief, Publication No. FHWA-HIF-10-010.
   Google Scholar
• Costello, S.B. , et al ., 2005. Stochastic model for strategic assessment of road maintenance. Proceedings of the Institution of Civil Engineers-Transport , 158 (4), 203–211.10.1680/tran.2005.158.4.203
   Web of Science ®Google Scholar
• El-Assaly, A. , Ariaratnam, S.T. , and Hempsey, L. , 2002. Development of deterioration models for the primary highway network in Alberta, Canada. Annual Conference of the Canadian Society for Civil Engineering, 5–8 June 2002 Montréal . Canada: QB, 2451–2460.
   Google Scholar
• Feighan, K.J. , et al ., 1988. Application of dynamic programming and other mathematical techniques to pavement management systems. Transportation Research Record: Journal of the Transportation Research Board , 1200, 90–98.
   Google Scholar
• Flintsch, G.W. and McGhee, K.K ., 2009. Quality management of pavement condition data collection . Washington, DC: Transportation Research Board, National Cooperative Highway Research Program Report 401.
   Google Scholar
• Fwa, T.F. , 2006. The handbook of Highway Engineering . Boca Raton, FL: CRC Press.
   Google Scholar
• Golroo, A. and Tighe, S. , 2009. Use of soft computing applications to model pervious concrete pavement condition in cold climates. Journal of Transportation Engineering , 135 (11), 791–800.10.1061/(ASCE)TE.1943-5436.0000052
   Web of Science ®Google Scholar
• Hillier, F.S. and Lieberman, G.J. , 1990. Introduction to operations research . 5th ed. New York, NY : MacGraw-Hill.
   Google Scholar
• Hong, H.P. and Wang, S.S. , 2003. Stochastic modeling of pavement performance. International Journal of Pavement Engineering , 4 (4), 235–243.10.1080/10298430410001672246
   Google Scholar
• Huang, Y.H. , 1993. Pavement analysis and design . Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Isaacson, D.L. and Madsen, R.W. , 1976. Markov chains: theory and applications . New York, NY : Wiley.
   Google Scholar
• Jannat, G.E. , Yuan, X.X ., and Shehata, M ., 2016. Development of regression equations for local calibration of rutting and IRI as predicted by the MEPDG models for flexible pavements using Ontario’s long-term PMS data. International Journal of Pavement Engineering , 17 (2), 166–175.10.1080/10298436.2014.973024
   Web of Science ®Google Scholar
• Johnson, A.M ., et al ., 2010. Evaluating the effect of slab curling on IRI for South Carolina concrete pavements . Columbia, SC: South Carolina Department of Transportation, Report No. FHWA-SC-10-04.
   Google Scholar
• Kallen, M.J. , 2011. On the use of uniformization to estimate transition probabilities in categorical condition data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability , 225 (2), 233–239.
   Google Scholar
• Karamihas, S.M ., 1999. Guidelines for longitudinal pavement profile measurement . Washington, DC: Transportation Research Board, NCHRP Report 434.
   Google Scholar
• Karamihas, S.M ., et al ., 2001. Diurnal Changes in profile of eleven jointed PCC pavements. In: 7th International Conference on Concrete Pavements. The use of concrete in developing long-lasting pavement solutions for the 21st century , 9–13 September 2001. Orlando, FL: International Society for Concrete Pavements, 69–80.
   Google Scholar
• Kerali, H.R . and Snaith, M.S ., 1992. NETCOM: the TRL visual condition model for road networks , Crowthorne, UK: Transport Research Laboratory, Contractor Report No. 921.
   Google Scholar
• Khattak, M.J. , et al ., 2014. International roughness index models for HMA overlay treatment of flexible and composite pavements. International Journal of Pavement Engineering , 15 (4), 334–344.10.1080/10298436.2013.842237
   Web of Science ®Google Scholar
• Kobayashi, K. , Kaito, K. , and Lethanh, N. , 2012. A Bayesian estimation method to improve deterioration prediction for infrastructure system with Markov chain model. International Journal of Architecture, Engineering and Construction , 1 (1), 1–13.10.7492/IJAEC.2012.001
   Google Scholar
• Kulkarni, R.B. , 1984. Dynamic decision model for a pavement management system. Transportation Research Record: Journal of the Transportation Research Board , 997, 11–18.
   Google Scholar
• Lethanh, N. and Adey, B.T. , 2013. Use of exponential hidden Markov models for modelling pavement deterioration. International Journal of Pavement Engineering , 14 (7), 645–654.10.1080/10298436.2012.715647
   Web of Science ®Google Scholar
• Li, N. , Haas, R. , and Xie, W.C. , 1997. Development of a new asphalt pavement performance prediction model. Canadian Journal of Civil Engineering , 24 (4), 547–559.10.1139/l97-001
   Web of Science ®Google Scholar
• Marzouk, M. , Awad, E. , and El-Said, M. , 2012. An integrated tool for optimizing rehabilitation programs of highways pavement. The Baltic Journal of Road and Bridge Engineering , 7 (4), 297–304.10.3846/bjrbe.2012.39
   Web of Science ®Google Scholar
• Mayet, J. and Madanat, S. , 2002. Incorporation of seismic considerations in bridge management systems. Computer-Aided Civil and Infrastructure Engineering , 17 (3), 185–193.10.1111/mice.2002.17.issue-3
   Web of Science ®Google Scholar
• Ministerul Dezvoltării Regionale şi Contrucţiilor , 2015. Proiectarea drumurilor publice . Chisinau, Moldova: MDRC, NCM D.02.01:2015.
   Google Scholar
• Ortiz-García, J.J. , Costello, S.B. , and Snaith, M.S. , 2006. Derivation of transition probability matrices for pavement deterioration modeling. Journal of Transportation Engineering , 132 (2), 141–161.10.1061/(ASCE)0733-947X(2006)132:2(141)
   Web of Science ®Google Scholar
• Pantha, B.R. , Yatabe, R. , and Bhandary, N.P. , 2010. GIS-based highway maintenance prioritization model: an integrated approach for highway maintenance in Nepal mountains. Journal of Transport Geography , 18 (3), 426–433.10.1016/j.jtrangeo.2009.06.016
   Web of Science ®Google Scholar
• Perera, R.W . and Kohn, S.D ., 2002. Issues in pavement smoothness: a summary report . Washington, DC: Transportation Research Board, National Research Council, NCHRP Web Document 42. Contractor’s Final Report.
   Google Scholar
• PIARC . 1987. Report of the committee on surface characteristics. In: Proceedings of the XVIII World Road Congress , 13–19 September 1987. Brussels, Belgium. Paris, France: World Road Association (PIARC).
   Google Scholar
• Roelfstra, G. , 2004. Condition evolution in bridge management systems and corrosion-induced deterioration. Journal of Bridge Engineering , 9 (3), 268–277.10.1061/(ASCE)1084-0702(2004)9:3(268)
   Web of Science ®Google Scholar
• Sayers, M.W. , 1995. On the calculation of IRI from longitudinal road profile. Transportation Research Record: Journal of the Transportation Research Board , 1501, 1–12.
   Google Scholar
• Sayers, M.W ., Gillespie, T.D ., and Paterson, W.D ., 1986. Guidelines for the conduct and calibration of road roughness measurements , Washington, DC: The World Bank, World Bank Technical Paper 46.
   Google Scholar
• Sinha, S.K. and Knight, M.A. , 2004. Intelligent system for condition monitoring of underground pipelines. Computer-Aided Civil and Infrastructure Engineering , 19 (1), 42–53.10.1111/mice.2004.19.issue-1
   Web of Science ®Google Scholar
• Smith, W.S. , 1974. A flexible pavement maintenance management system . Thesis (PhD). University of California.
   Google Scholar
• Souliman, M.I. , et al , 2010. Calibration of the AASHTO MEPDG for designing flexible pavements in Arizona conditions. International Journal of Pavements , 9, 2–13.
   Google Scholar
• Tabatabaee, N. and Ziyadi, M. , 2013. Bayesian approach to updating Markov-based models for predicting pavement performance. Transportation Research Record: Journal of the Transportation Research Board , 2366, 34–42.10.3141/2366-04
   Web of Science ®Google Scholar
• Thomas, O. and Sobanjo, J. , 2012. Comparison of Markov chain and semi-Markov models for crack deterioration on flexible pavements. Journal of Infrastructure Systems , 19 (2), 186–195.
   Web of Science ®Google Scholar
• Wang, K.C. , Zaniewski, J. , and Way, G. , 1994. Probabilistic behavior of pavements. Journal of Transportation Engineering , 120 (3), 358–375.10.1061/(ASCE)0733-947X(1994)120:3(358)
   Web of Science ®Google Scholar
• Zou, B. and Madanat, S. , 2011. Incorporating delay effects into airport runway pavement management systems. Journal of Infrastructure Systems , 18 (3), 183–193.
   Web of Science ®Google Scholar