Empirical approach for estimating the pavement transition probabilities used in non-homogenous Markov chains

References

• Abaza, K.A., 2004. Deterministic performance prediction model for rehabilitation and management of flexible pavement. International Journal of Pavement Engineering, 5 (2), 111–121. doi:10.1080/10298430412331286977.
   Google Scholar
• Abaza, K.A., 2014. Back-calculation of transition probabilities for Markovian-based pavement performance prediction models. International Journal of Pavement Engineering  doi:10.1080/10298436.2014.993185.
   Web of Science ®Google Scholar
• Abaza, K.A., Ashur, S.A., and Al-Khatib, I.A., 2004. Integrated pavement management system with a Markovian prediction model. Journal of Transportation Engineering, 130 (1), 24–33. doi:10.1061/(ASCE)0733-947X(2004)130:1(24).
   Web of Science ®Google Scholar
• Abaza, K.A. and Murad, M.M., 2010. Pavement rehabilitation project ranking approach using probabilistic long-term performance indicators. In: Transportation Research Record: Journal of the Transportation Research Board  (TRB), Record No. 2153, Washington, DC: TRB, 3–12.
   Google Scholar
• American Association of State Highway and Transportation Officials (AASHTO), 1993. AASHTO guide for design of pavement structures. Washington, DC: AASHTO.
   Google Scholar
• American Standard Testing Manual (ASTM), 2007. Standard practice for roads and parking lots pavement condition index surveys, D6433-07. Philadelphia, PA: ASTM.
   Google Scholar
• Butt, A., et al., 1987. Pavement performance prediction model using the Markov process. In: Transportation research record 1123. Washington, DC: TRB, 12–19.
   Google Scholar
• Hong, H.P. and Wang, S.S., 2003. Stochastic modeling of pavement performance. International Journal of Pavement Engineering, 4 (4), 235–243. doi:10.1080/10298430410001672246.
   Google Scholar
• Huang, Y., 2004. Pavement analysis and design. 2nd ed. Upper Saddle River, NJ: Pearson/Prentice Hall.
   Google Scholar
• Jorge, D. and Ferreira, A., 2012. Road network pavement maintenance optimisation using the hdm-4 pavement performance prediction models. International Journal of Pavement Engineering, 13 (1), 39–51. doi:10.1080/10298436.2011.563851.
   Web of Science ®Google Scholar
• Khan, M.U., et al., 2014. Development of road deterioration models incorporating flooding for optimum maintenance and rehabilitation strategies. Road & Transport Research: A Journal of Australian and New Zealand Research and Practice, 23 (1), 3–24.
   Google Scholar
• Kobayashi, K., Do, M., and Han, D., 2010. Estimation of Markovian transition probabilities for pavement deterioration forecasting. KSCE Journal of Civil Engineering, 14 (3), 343–351. doi:10.1007/s12205-010-0343-x.
   Web of Science ®Google Scholar
• Li, N., Haas, R., and Xie, W.-C., 1997. Investigation of relationship between deterministic and probabilistic prediction models in pavement management. Transportation Research Record, 1592 (1), 70–79. doi:10.3141/1592-09.
   Google Scholar
• Li, N., Xie, W.-C., and Haas, R., 1996. Reliability-based processing of Markov chains for modeling pavement network deterioration. Transportation Research Record, 1524 (1), 203–213. doi:10.3141/1524-24.
   Google Scholar
• Mandiartha, P., et al., 2012. A stochastic-based performance prediction model for road network pavement maintenance. Road and Transport Research, 21 (3), 34–52.
   Web of Science ®Google Scholar
• Mishalani, R. and Madanat, S., 2002. Computation of infrastructure transition probabilities using stochastic duration models. Journal of Infrastructure Systems, 8 (4), 139–148. doi:10.1061/(ASCE)1076-0342(2002)8:4(139).
   Google Scholar
• Ortiz-garcía, J., Costello, S., and Snaith, M., 2006. Derivation of transition probability matrices for pavement deterioration modeling. Journal of Transportation Engineering, 132 (2), 141–161. doi:10.1061/(ASCE)0733-947X(2006)132:2(141).
   Web of Science ®Google Scholar
• Shohel Reza Amin, Md, 2015. The pavement performance modeling: deterministic vs. stochastic approaches. In: Numerical methods for reliability and safety assessment. Springer, 179–196.
   Google Scholar
• Underwood, B.S., Kim, Y.R., and Corley-Lay, J., 2011. Assessment of use of automated distress survey methods for network-level pavement management. Journal of Performance of Constructed Facilities, 25 (3), 250–258. doi:10.1061/(ASCE)CF.1943-5509.0000158.
   Web of Science ®Google Scholar
• Virginia Department of Transportation (VDOT), 2010. Pavement management system. Richmond, VA: VDOT.
   Google Scholar
• Wang, K.C.P., Zaniewski, J., and Way, G., 1994. Probabilistic behavior of pavements. Journal of Transportation Engineering, 120 (3), 358–375. doi:10.1061/(ASCE)0733-947X(1994)120:3(358).
   Web of Science ®Google Scholar