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Joint optimization of pavement maintenance and resurfacing planning

Author

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  • Gu, Weihua
  • Ouyang, Yanfeng
  • Madanat, Samer

Abstract

This paper presents an analytical approach for joint planning of pavement maintenance and resurfacing activities that minimizes pavement lifecycle costs, including user, maintenance and resurfacing costs, for an infinite time horizon. The optimization problem is formulated as a nonlinear mathematical program with continuous pavement state and continuous time, and optimality conditions are derived. Managerial insights and practical implications are drawn from two realistic application scenarios, where the maintenance cost is either independent of or linearly dependent on pavement condition, to address impacts of routine maintenance activities on pavement resurfacing planning decisions. Numerical examples demonstrate clear trade-offs between maintenance and resurfacing activities in terms of both pavement improvement effectiveness and costs. This paper shows that maintenance activities, if applied optimally, have the potential to significantly prolong pavement service life between consecutive rehabilitations and reduce overall pavement lifecycle costs.

Suggested Citation

  • Gu, Weihua & Ouyang, Yanfeng & Madanat, Samer, 2012. "Joint optimization of pavement maintenance and resurfacing planning," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 511-519.
    • Handle: RePEc:eee:transb:v:46:y:2012:i:4:p:511-519
    DOI: 10.1016/j.trb.2011.12.002
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    References listed on IDEAS

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    1. Ouyang, Yanfeng & Madanat, Samer, 2006. "An analytical solution for the finite-horizon pavement resurfacing planning problem," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 767-778, November.
    2. Li, Yuwei & Madanat, Samer, 2002. "A steady-state solution for the optimal pavement resurfacing problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(6), pages 525-535, July.
    3. Sathaye, Nakul & Madanat, Samer, 2011. "A bottom-up solution for the multi-facility optimal pavement resurfacing problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1004-1017, August.
    4. J. Enrique Fernandez & Terry L. Friesz, 1981. "Influence of Demand-Quality Interrelationships on Optimal Policies for Stage Construction of Transportation Facilities," Transportation Science, INFORMS, vol. 15(1), pages 16-31, February.
    5. Tsunokawa, Koji & Schofer, Joseph L., 1994. "Trend curve optimal control model for highway pavement maintenance: Case study and evaluation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(2), pages 151-166, March.
    6. Madanat, Samer, 1993. "Incorporating inspection decisions in pavement management," Transportation Research Part B: Methodological, Elsevier, vol. 27(6), pages 425-438, December.
    7. Friesz, Terry L. & Enrique Fernandez, J., 1979. "A model of optimal transport maintenance with demand responsiveness," Transportation Research Part B: Methodological, Elsevier, vol. 13(4), pages 317-339, December.
    8. Ouyang, Yanfeng & Madanat, Samer, 2004. "Optimal scheduling of rehabilitation activities for multiple pavement facilities: exact and approximate solutions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 347-365, June.
    9. Durango-Cohen, Pablo L., 2007. "A time series analysis framework for transportation infrastructure management," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 493-505, June.
    10. Kamal Golabi & Ram B. Kulkarni & George B. Way, 1982. "A Statewide Pavement Management System," Interfaces, INFORMS, vol. 12(6), pages 5-21, December.
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    Citations

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    Cited by:

    1. Lee, Jinwoo & Madanat, Samer, 2015. "A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 106-122.
    2. Zhi-Chun Li & Dian Sheng, 2014. "Pavement rehabilitation scheduling and toll pricing under different regulatory regimes," Annals of Operations Research, Springer, vol. 217(1), pages 337-355, June.
    3. Lee, Jinwoo & Madanat, Samer, 2014. "Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 141-153.
    4. Zhang, Le & Fu, Liangliang & Gu, Weihua & Ouyang, Yanfeng & Hu, Yaohua, 2017. "A general iterative approach for the system-level joint optimization of pavement maintenance, rehabilitation, and reconstruction planning," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 378-400.
    5. Marc Gaudry & Bernard Lapeyre & Emile Quinet, 2015. "Infrastructure maintenance, regeneration and service quality economics: A rail example," PSE Working Papers halshs-00559637, HAL.
    6. Odolinski, Kristofer & Wheat, Phill, 2018. "Dynamics in rail infrastructure provision: Maintenance and renewal costs in Sweden," Economics of Transportation, Elsevier, vol. 14(C), pages 21-30.
    7. Chu, James C. & Huang, Kai-Hsiang, 2018. "Mathematical programming framework for modeling and comparing network-level pavement maintenance strategies," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 1-25.
    8. Lu, Zhaoyang & Meng, Qiang, 2018. "Impacts of pavement deterioration and maintenance cost on Pareto-efficient contracts for highway franchising," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 1-21.
    9. Chu, James C. & Chen, Yin-Jay, 2012. "Optimal threshold-based network-level transportation infrastructure life-cycle management with heterogeneous maintenance actions," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1123-1143.

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