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Original Articles

Condition prediction and estimation of service life in the presence of data censoring and dependent competing risks

ORCID Icon &
Pages 313-331 | Received 14 Aug 2016, Accepted 05 Feb 2017, Published online: 21 Feb 2017

References

  • Aalen, O.O. , Borgan, Ø. and Gjessing, H.K , 2008. Survival and event history analysis. A process point of view . New York, NY: Springer.
  • Abaza, K.A. , 2017. Empirical approach for estimating the pavement transition probabilities used in non-homogenous Markov chains. International Journal of Pavement Engineering , 18 (2), 128–137.
  • 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.
  • Christofa, E.M. and Madanat, S.M. , 2010. Development of pavement cracking initiation models by combining experimental and field data. 89th annual meeting of the transportation research board , 10–14 January, Washington, DC.
  • Crowder, M.J. , 2012. Multivariate survival analysis and competing risks . Boca Raton, FL: Chapman & Hall/CRC Press.10.1201/CHTEXSTASCI
  • Donev, V. and Hoffmann, M. , 2016. Pavement performance prediction and estimation of service life in the presence of censored condition data. In: Proceedings of the eight international conference on maintenance and rehabilitation of pavements , 27–29 July 2016 Singapore. Singapore: Research Publishing, 680–689.
  • Dong, Q. and Huang, B. , 2015. Failure probability of resurfaced preventive maintenance treatments: investigation into long-term pavement performance program. Transportation Research Record: Journal of the Transportation Research Board , 2481, 65–74.10.3141/2481-09
  • Hoffmann, M. and Donev, V. , 2015. Probabilistic modeling of flexible pavement performance and LCC – based service lives with failure distributions. In: H. Furuta , D.M. Frangopol and M. Akiyama , eds. Life-cycle of structural systems: design, assessment, maintenance and management , 16–19 November 2014 Tokio. London: Taylor & Francis, 1981–1988.
  • Hoffmann, M. and Donev, V. , 2016. Introduction of a new continuous time and state space stochastic process in condition prediction. International Journal of Pavement Engineering . https://doi.org/10.1080/10298436.2016.1162304.
  • Joe, H. , 2015. Dependence modeling with copulas . Boca Raton, FL: Chapman & Hall/CRC Press.
  • Kalbfleisch, J.D. and Prentice, R.L. , 2002. The statistical analysis of failure time data . 2nd ed. Hoboken, NJ: Wiley.10.1002/9781118032985
  • Kargah-Ostadi, N. and Stoffels, S.M. , 2015. Framework for development and comprehensive comparison of empirical pavement performance models. Journal of Transportation Engineering , 141 (8), 04015012.10.1061/(ASCE)TE.1943-5436.0000779
  • Kleinbaum, D.G. and Klein, M. , 2012. Survival analysis: a self-learning text . 3rd ed. New York, NY : Springer.10.1007/978-1-4419-6646-9
  • Kurowicka, D. and Cooke, R. , 2006. Uncertainty analysis with high dimensional dependence modelling . Chichester: Wiley.10.1002/0470863072
  • Li, N. , Xie, W. and Haas, R. , 1996. Reliability-based processing of Markov chains for modeling pavement network deterioration. Transportation Research Record: Journal of the Transportation Research Board , 1524, 203–213.10.3141/1524-24
  • Lo, S.M.S. , 2015. Competing risks model and copula . Dissertation (PhD). University of Freiburg.
  • Loizos, A. and Karlaftis, M. , 2005. Pavement crack initiation prediction from in-service pavements: a duration model approach. Transportation Research Record: Journal of the Transportation Research Board , 1940, 38–42.10.3141/1940-05
  • Madanat, S. , Mishalani, R. and Ibrahim, W.H.W. , 1995. Estimation of infrastructure transition probabilities from condition rating data. Journal of Infrastructure Systems , 1 (2), 120–125.10.1061/(ASCE)1076-0342(1995)1:2(120)
  • Mallick, R. and El-Korchi, T. , 2013. Pavement engineering: principles and practice . 2nd ed. Boca Ranton, FL: CRC Press.
  • Molzer, C. , et al. , 2000. Statistische Methoden zur Auswertung von Straßenzustandsdaten [Statistics for pavement performance modeling]. Wien: BMVIT, Straßenforschung Heft 499 (in German).
  • Nakat, Z.S. and Madanat, S.M. , 2008. Stochastic duration modeling of pavement overlay crack initiation. Journal of Infrastructure Systems , 14 (3), 185–192.10.1061/(ASCE)1076-0342(2008)14:3(185)
  • Norouzi, A. , Kim, D. and Kim, Y.R. , 2016. Numerical evaluation of pavement design parameters for the fatigue cracking and rutting performance of asphalt pavements. Materials and Structures , 49 (9), 3619–3634.10.1617/s11527-015-0744-x
  • Ozer, H. , et al. , 2016. Fracture characterization of asphalt mixtures with high recycled content using Illinois semicircular bending test method and flexibility index. Transportation Research Record: Journal of the Transportation Research Board , 2575, 130–137.10.3141/2575-14
  • Paterson, W.D.O. , 1987. Road deterioration and maintenance effects: models for planning and management . Baltimore, MD : The Johns Hopkins University Press.
  • Pintilie, M. , 2006. Competing risks: a practical perspective . 1st ed. Chichester: Wiley.10.1002/9780470870709
  • Prozzi, J.A. and Madanat, S.M. , 2000. Using duration models to analyze experimental pavement failure data. Transportation Research Record: Journal of the Transportation Research Board , 1699, 87–94.10.3141/1699-12
  • Reger, D. , et al. , 2013. Estimation of pavement crack initiation models by combining experimental and field data. Journal of Infrastructure Systems , 19 (4), 434–441.10.1061/(ASCE)IS.1943-555X.0000148
  • Ross, S.M. , 2014. Introduction to probability models . 11th ed. Waltham, MA: Academic Press.
  • Rübensam, J. , et al. , 2005. Untersuchungen zur Wirtschaftlichkeit und bautechnischen Bewährung von Fahrbahnbefestigungen aus Asphalt und Beton auf bestehenden Bundesautobahnen [Investigations of the profitability and structural dependability of asphalt and concrete carriageway pavement on existent interstate highways]. Bonn: Forschung Straßenbau und Straßenverkehrstechnik, Heft 914 (in German).
  • Schram, S. and Abdelrahman, M. , 2009. Mechanistic-empirical modeling in network-level pavement management. Transportation Research Record: Journal of the Transportation Research Board , 2093, 76–83.10.3141/2093-09
  • Shin, H.C. and Madanat, S. , 2003. Development of stochastic model of pavement distress initiation. Journal of Infrastructure Planning and Management , 744 (61), 61–67.
  • Smith, A.F. , et al. , 2007. TexSys: guide for selecting HMA for Texas flexible pavements . El Paso, TX: Center for Transportation and Infrastructure Systems, University of Texas at El Paso.
  • Van Dam, T.J. , Chesher, A.D. and Peshkin, D.G. , 1997. Evaluation of LTTP data using HDM-III probabilistic failure-time models for crack initiation in bituminous pavements. Transportation Research Record: Journal of the Transportation Research Board , 1592, 125–133.10.3141/1592-15
  • Wang, Y. , Mahboub, K.C. and Hancher, D.E. , 2005. Survival analysis of fatigue cracking for flexible pavements based on long-term pavement performance data. Journal of Transportation Engineering , 131 (8), 608–616.10.1061/(ASCE)0733-947X(2005)131:8(608)
  • Wooldridge, J. , 2013. Introductory econometrics: a modern approach . 5th ed. Mason, OH: South-Western Cengage Learning.
  • Yang, J. and Kim, S.H. , 2015. Investigating the performance of as-built and overlaid pavements: a competing risks approach. International Journal of Pavement Engineering , 16 (3), 191–197.10.1080/10298436.2014.937808
  • Zheng, M. and Klein, J.P. , 1995. Estimates of marginal survival for dependent competing risks based on an assumed copula. Biometrika , 82 (1), 127–138.10.1093/biomet/82.1.127