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Research Article

On the scheduling of lifecycle network-level pavement maintenance: modelling and applications

ORCID Icon, , &
Article: 2271631 | Received 05 May 2023, Accepted 09 Oct 2023, Published online: 07 Nov 2023

References

  • Adey, B.T., 2018. A road infrastructure asset management process: gains in efficiency and effectiveness. Infrastructure Asset Management, 6, 2–14.
  • Adey, B.T., Burkhalter, M., and Martani, C., 2019. Defining road service to facilitate road infrastructure asset management. Infrastructure Asset Management, 7, 240–255.
  • Adey, B.T., García de Soto, B., and Senn, C., 2017. Evaluating the operation and routine maintenance of municipal roads in switzerland. Infrastructure Asset Management, 4, 96–108.
  • Agencys, I.E., 2015. Railway handbook 2017 – energy consumption and CO2 emissions.
  • Ahmed, K., Al-Khateeb, B., and Mahmood, M., 2019. Application of chaos discrete particle swarm optimization algorithm on pavement maintenance scheduling problem. Cluster Computing, 22, 4647–4657.
  • Amini, B., and Tehrani, S.S., 2014. Simultaneous effects of salted water and water flow on asphalt concrete pavement deterioration under freeze–thaw cycles. International Journal of Pavement Engineering, 15, 383–391.
  • Babashamsi, P., Yusoff, N.I.M., Ceylan, H., Nor, N.G.M., and Jenatabadi, H.S., 2016. Evaluation of pavement life cycle cost analysis: review and analysis. International Journal of Pavement Research and Technology, 9, 241–254.
  • Chan, S., Lane, B., Kazmierowski, T., and Lee, W., 2011. Pavement preservation: a solution for sustainability. Transportation Research Record, 2235, 36–42.
  • Cheu, R.L., Wang, Y., and Fwa, T.F., 2004. Genetic algorithm-simulation methodology for pavement maintenance scheduling. Computer-Aided Civil and Infrastructure Engineering, 19, 446–455.
  • Ćirilović, J., Mladenović, G., and Queiroz, C., 2014. Project level pavement management optimization procedure combining optimal control theory and HDM-4 models. Transport Research Arena (TRA) 2014 Proceedings.
  • Coleri, E., 2012. Genetic algorithm for the finite horizon pavement resurfacing planning problem. Transportation Research Board 91st Annual M eeting. Washington DC: Transportation Research Board.
  • Corley-Lay, J., 2014. Pavement performance measures: how states see good, fair, and poor. Transportation Research Record, 2431, 1–5.
  • Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182–197.
  • Dekker, R., 1996. Applications of maintenance optimization models: a review and analysis. Reliability Engineering & System Safety, 51, 229–240.
  • Duane, S., Kennedy, A.D., Pendleton, B.J., and Roweth, D., 1987. Hybrid Monte Carlo. Physics Letters B, 195, 216–222.
  • Dula, M., and Hu, X.Y., 2013. The application analysis of micro-surfacing in high grade highway asphalt pavement preventive maintenance. In: Applied mechanics and materials. Stafa-Zurich, Switzerland: Trans Tech Publications, 1882–1886.
  • Durango, P.L., and Madanat, S.M., 2002. Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates: an adaptive control approach. Transportation Research Part A: Policy and Practice, 36, 763–778.
  • Ferreira, A., Antunes, A., and Picado-Santos, L.ı.S., 2002. Probabilistic segment-linked pavement management optimization model. Journal of Transportation Engineering, 128, 568–577.
  • Ferreira, A., and Santos, J., 2012. Lcca system for pavement management: sensitivity analysis to the discount rate. Procedia-Social and Behavioral Sciences, 53, 1172–1181.
  • Frangopol, D.M., and Liu, M., 2007. Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost. Structure and Infrastructure Engineering, 3, 29–41.
  • Frank, M., and Wolfe, P., 1956. An algorithm for quadratic programming. Naval Research Logistics Quarterly, 3, 95–110.
  • Galehouse, L., Moulthrop, J.S., and Hicks, R.G., 2003. Principles of pavement preservation: definitions, benefits, issues, and barriers. TR News.
  • Gao, H., and Zhang, X., 2013a. A markov-based road maintenance optimization model considering user costs. Computer-Aided Civil and Infrastructure Engineering, 28, 451–464.
  • Gao, L., and Zhang, Z., 2013b. Management of pavement maintenance, rehabilitation, and reconstruction through network partition. Transportation Research Record, 2366, 59–63.
  • Geman, S., and Geman, D., 1984. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721–741.
  • Gu, W., Ouyang, Y., and Madanat, S., 2012. Joint optimization of pavement maintenance and resurfacing planning. Transportation Research Part B: Methodological, 46, 511–519.
  • Guo, S., 2012. Preferential study on preventive maintenance measures for highway asphalt pavements. Thesis (PhD). Chongqing Jiaotong University.
  • Harvey, M.O., 2012. Optimising road maintenance. In: International transport forum discussion papers. Paris: OECD Publishing.
  • Hastings, W., 1970. Monte Carlo sampling methods using markov chains and their applications. Biometrika, 57, 97.
  • Hu, A., Bai, Q., Chen, L., Meng, S., Li, Q., and Xu, Z., 2022. A review on empirical methods of pavement performance modeling. Construction and Building Materials, 342, 127968.
  • Jawad, D., and Ozbay, K., 2006. The discount rate in life cycle cost analysis of transportation projects. 85th Annual TRB Meeting, Washington, DC: Transportation Research Board.
  • 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, 39–51.
  • Labi, S., and Sinha, K.C., 2005. Life-cycle evaluation of flexible pavement preventive maintenance. Journal of Transportation Engineering, 131, 744–751.
  • LeBlanc, L.J., Morlok, E.K., and Pierskalla, W.P., 1975. An efficient approach to solving the road network equilibrium traffic assignment problem. Transportation Research, 9, 309–318.
  • Lee, C., and Lee, E.B., 2017. Prediction method of real discount rate to improve accuracy of life-cycle cost analysis. Energy and Buildings, 135, 225–232.
  • Lee, J., and Madanat, S., 2014. Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models. Transportation Research Part B: Methodological, 68, 141–153.
  • Lee, J., and Madanat, S., 2015. A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction. Transportation Research Part B: Methodological, 78, 106–122.
  • Lee, J., and Madanat, S., 2017. Optimal policies for greenhouse gas emission minimization under multiple agency budget constraints in pavement management. Transportation Research Part D: Transport and Environment, 55, 39–50.
  • Lee, J., Madanat, S., and Reger, D., 2016. Pavement systems reconstruction and resurfacing policies for minimization of life-cycle costs under greenhouse gas emissions constraints. Transportation Research Part B: Methodological, 93, 618–630.
  • Lethanh, N., and Adey, B.T., 2014. Investigation of the use of a Weibull model for the determination of optimal road link intervention strategies. Structure and Infrastructure Engineering, 10, 684–696.
  • Li, P., 2013. Research on highway pavement performance prediction based on markov s-curve. Transportation Science and Technology, 39 (3), 62–64.
  • Li, S., 2019. Asphalt pavement research on performance prediction and maintenance decision optimization for expressways. Thesis (Master). Chongqing Jiaotong University.
  • Li, H., Lin, M., and Wang, Q., 2019. Predicting the serviceability of highway asphalt pavement based on IFA-SVM. Highway Traffic Technology, 36, 12–18.
  • Li, Y., and Madanat, S., 2002. A steady-state solution for the optimal pavement resurfacing problem. Transportation Research Part A: Policy and Practice, 36, 525–535.
  • Li, Z., and Madanu, S., 2009. Highway project level life-cycle benefit/cost analysis under certainty, risk, and uncertainty: methodology with case study. Journal of Transportation Engineering, 135, 516–526.
  • Liu, Q., Zhang, Z., Huang, F., and Zhu, Y., 2018. Investigation of asphalt pavement serviceability prediction based on support vector machine. Highway Engineering, 43, 204–208.
  • Madanat, S., and Ben-Akiva, M., 1994. Optimal inspection and repair policies for infrastructure facilities. Transportation Science, 28, 55–62.
  • Mamlouk, M.S., and Zaniewski, J.P., 1998. Pavement preventive maintenance: description, effectiveness, and treatments. ASTM Special Technical Publication, 1348, 121–135.
  • Marcelino, P., Lurdes Antunes, M.D., and Fortunato, E., 2018. Comprehensive performance indicators for road pavement condition assessment. Structure and Infrastructure Engineering, 14, 1433–1445.
  • Medury, A., and Madanat, S., 2013. Incorporating network considerations into pavement management systems: a case for approximate dynamic programming. Transportation Research Part C: Emerging Technologies, 33, 134–150.
  • Mitradjieva, M., and Lindberg, P.O., 2013. The stiff is moving–conjugate direction Frank-Wolfe methods with applications to traffic assignment. Transportation Science, 47, 280–293.
  • Moazami, D., Behbahani, H., and Muniandy, R., 2011. Pavement rehabilitation and maintenance prioritization of urban roads using fuzzy logic. Expert Systems with Applications, 38, 12869–12879.
  • Nedjah, N., and Mourelle, L.D.M., 2015. Evolutionary multi–objective optimisation: a survey. International Journal of Bio-Inspired Computation, 7, 1–25.
  • Ng, M., Zhang, Z., and Waller, S.T., 2011. The price of uncertainty in pavement infrastructure management planning: an integer programming approach. Transportation Research Part C: Emerging Technologies, 19, 1326–1338.
  • Ouyang, Y., 2007. Pavement resurfacing planning for highway networks: parametric policy iteration approach. Journal of Infrastructure Systems, 13, 65–71.
  • Ouyang, Y., and Madanat, S., 2004. Optimal scheduling of rehabilitation activities for multiple pavement facilities: exact and approximate solutions. Transportation Research Part A: Policy and Practice, 38, 347–365.
  • Ouyang, Y., and Madanat, S., 2006. An analytical solution for the finite-horizon pavement resurfacing planning problem. Transportation Research Part B: Methodological, 40, 767–778.
  • Richmond, C., and Adey, B.T., 2021. A-vts model of bitumen viscosity transformed and made continuous across families of grades. International Journal of Pavement Engineering, 22, 664–674.
  • Santos, J., Ferreira, A., and Flintsch, G., 2017. A multi-objective optimization-based pavement management decision-support system for enhancing pavement sustainability. Journal of Cleaner Production, 164, 1380–1393.
  • Sathaye, N., and Madanat, S., 2011. A bottom-up solution for the multi-facility optimal pavement resurfacing problem. Transportation Research Part B: Methodological, 45, 1004–1017.
  • Sathaye, N., and Madanat, S., 2012. A bottom-up optimal pavement resurfacing solution approach for large-scale networks. Transportation Research Part B: Methodological, 46, 520–528.
  • Sheffi, Y., 1985. Urban transportation networks: equilibrium analysis with mathematical programming methods. Massachusetts Institute of Technology: Upper Saddle River: Prentice Hall
  • Sun, L., 2016. Structural behavior of asphalt pavements: intergrated analysis and design of conventional and heavy duty asphalt pavement. Oxford, UK: Butterworth-Heinemann.
  • Sun, L., and Liu, X., 1995. General deterioration equation for pavement performance. Journal of Tongji University, 23, 512–518.
  • Sundin, S., and Braban-Ledoux, C., 2001. Artificial intelligence-based decision support technologies in pavement management. Computer-Aided Civil and Infrastructure Engineering, 16, 143–157.
  • Turner, F.C., 1976. The 1976 federal-aid highway act.
  • Wang, X., Mao, H., Yang, B., and Hou, M., 2020. Research on asphalt pavement performance prediction based on deep learning lstm networks. Highway Traffic Technology, 16, 9–12.
  • Wardrop, J.G., 1952. Some theoretical aspects of road traffic research. Proceedings of the Institution of Civil Engineers, 1, 325–362.
  • Weingroff, R., 2020. Origins of the interstate maintenance program. Available from: https://www.fhwa.dot.gov/infrastructure/intmaint.cfm.
  • Wu, D., Yuan, C., Kumfer, W., and Liu, H., 2017a. A life-cycle optimization model using semi-markov process for highway bridge maintenance. Applied Mathematical Modelling, 43, 45–60.
  • Wu, D., Yuan, C., and Liu, H., 2017b. A risk-based optimisation for pavement preventative maintenance with probabilistic LCCA: a Chinese case. International Journal of Pavement Engineering, 18, 11–25.
  • Xiao, J., Wei, H., Zhao, J., and Zhencun, L.I., 2015. Decay model of hunan expressway pavement performance. Journal of Central South University (Science and Technology), 46, 2686–2692.
  • Xu, Z., Burkhalter, M., Adey, B.T., and Yang, Q., 2023. A network model to optimally group road maintenance interventions for work zone development. Structure and Infrastructure Engineering, 19, 1007–1023.
  • Yao, L., Dong, Q., Jiang, J., and Ni, F., 2020. Deep reinforcement learning for long-term pavement maintenance planning. Computer-Aided Civil and Infrastructure Engineering, 35, 1230–1245.
  • Yu, B., Gu, X., Ni, F., and Guo, R., 2015. Multi-objective optimization for asphalt pavement maintenance plans at project level: integrating performance, cost and environment. Transportation Research Part D: Transport and Environment, 41, 64–74.
  • Yu, B., Lu, Q., and Xu, J., 2013. An improved pavement maintenance optimization methodology: integrating LCA and LCCA. Transportation Research Part A: Policy and Practice, 55, 1–11.
  • Zhang, L., Fu, L., Gu, W., Ouyang, Y., and Hu, Y., 2017a. A general iterative approach for the system-level joint optimization of pavement maintenance, rehabilitation, and reconstruction planning. Transportation Research Part B: Methodological, 105, 378–400.
  • Zhang, P., Zhang, K., and Zhang, C., 2017b. Performance prediction of highway asphalt pavement based on MA-GM(1,1). Highway and Transport, 33 (4), 204–206.
  • Zhou, G., and Wang, L., 2012. Co-location decision tree for enhancing decision-making of pavement maintenance and rehabilitation. Transportation Research Part C: Emerging Technologies, 21, 287–305.
  • Zimmerman, K.A., and Peshkin, D.G., 2003. Pavement management perspective on integrating preventive maintenance into a pavement management system. Transportation Research Record, 1827, 3–9.
  • Zouch, M., Yeung, T., and Castanier, B., 2012. Optimizing road milling and resurfacing actions. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 226, 156–168.
  • Zulu, K., Singh, R.P., and Shaba, F.A., 2020. Environmental and economic analysis of selected pavement preservation treatments. Civil Engineering Journal, 6, 210–224.

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