Pavement Design Optimization Considering Costs and Preventive Interventions
Publication: Journal of Transportation Engineering
Volume 138, Issue 7
Abstract
In Portugal, as in many other countries, due to the economic crisis, the trend of budgetary pressures on highway agencies is increasing. At the same time, road users are increasingly demanding in terms of highway quality, comfort, and safety. Several highway projects have been delayed because of budget constraints. To meet these challenges highway agencies are looking for more cost-effective methodologies for pavement management at project-level. This paper presents a new pavement design optimization model, called OPTIPAV, which considers pavement performance, construction costs, maintenance and rehabilitation costs, user costs, the residual value of the pavement at the end of the project analysis period, and preventive maintenance and rehabilitation interventions. It was developed and programmed to help pavement designers to choose the best pavement structure for a road or highway. The results obtained by the application of the new pavement design optimization model clearly indicate that it is a valuable addition to the road engineer’s toolbox.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors are grateful to the Portuguese Foundation of Science and Technology for the financial support provided to this study through Grant PTDC/ECM/112775/2009—MODAT—Multi-Objective Decision-Aid Tool for Highway Asset Management, financed by the European Community Fund FEDER. The authors wish to acknowledge the reviewers for their valuable comments and suggestions.
References
AASHTO. (1993). Guide for design of pavement structures, 4th Ed., Washington, D.C., 1–640.
AASHTO. (2008). Mechanistic-empirical pavement design guide—A manual of practice, Interim Ed., Washington, D.C., 1–204.
Abaza, K. (2002). “Optimum flexible pavement life-cycle analysis model.” J. Transp. Eng.JTPEDI, 128(6), 542–549.
Abaza, K. (2006). “Iterative linear approach for nonlinear nonhomogenous stochastic pavement management models.” J. Transp. Eng.JTPEDI, 132(3), 244–256.
Abaza, K. (2007). “Expected performance of pavement repair works in a global network optimization.” J. Infrastruct. Syst.JITSE4, 13(2), 124–134.
Abaza, K., and Ashur, S. (2009). “Optimum microscopic pavement management model using constrained integer linear programming.” Int. J. Pavement Eng.IJPEF7, 10(3), 149–160.
Abaza, K., Ashur, S., Abu-Eisheh, S., and Al-Khatib, I. (2004). “Integrated pavement management system with a markovian prediction model.” J. Transp. Eng.JTPEDI, 130(1), 24–33.
Abaza, K., Ashur, S., Abu-Eisheh, S., and Rabay’, A. A. (2001). “Macroscopic optimum system for management of pavement rehabilitation.” J. Transp. Eng.JTPEDI, 127(6), 493–500.
AI. (2001). Thickness design: asphalt pavements for highways and streets, Asphalt Institute, Lexington, KY, 1–98.
Brunton, J., Brown, S., and Pell, P. (1987). “Developments to the Nottingham analytical design method for asphalt pavements.” Proc., 6th Int. Conf. on Structural Design of Asphalt Pavements, Univ. of Michigan, Ann Arbor, MI, 1, 366–377.
David, J., Loton, T., Gunvaldson, E., Bowen, C., Coad, N., and Jefford, D. (2006). Professional Visual Studio 2005 Team System, Wiley, Indianapolis, 1–660.
Deb, K. (2008). Multi-objective optimization using evolutionary algorithms, Wiley, West Sussex, UK, 1–536.
Durango-Cohen, P., and Tadepalli, N. (2006). “Using advanced inspection technologies to support investments in maintenance and repair of transportation infrastructure facilities.” J. Transp. Eng.JTPEDI, 132(1), 60–68.
Ferreira, A. (2001). “Pavement maintenance optimization of road networks.” Ph.D. thesis, Univ. of Coimbra, Coimbra, Portugal, 1–383 (in Portuguese).
Ferreira, A., Antunes, A., and Picado-Santos, L. (2002a). “Probabilistic segment-linked pavement management optimization model.” J. Transp. Eng.JTPEDI, 128(6), 568–577.
Ferreira, A., Meneses, S., and Vicente, F. (2009a). “Pavement management system for Oliveira do Hospital, Portugal.” Proc. Inst. Civ. Eng. Transp.PCETEO, 162(3), 157–169.
Ferreira, A., Meneses, S., and Vicente, F. (2009b). “Alternative decision-aid tool for pavement management.” Proc. Inst. Civ. Eng. Transp.PCETEO, 162(1), 3–17.
Ferreira, A., Picado-Santos, L., and Antunes, A. (2002b). “A segment-linked optimization model for deterministic pavement management systems.” Int. J. Pavement Eng.IJPEF7, 3(2), 95–105.
Ferreira, A., Picado-Santos, L., Wu, Z., and Flintsch, G. (2011). “Selection of pavement performance models for use in the Portuguese PMS.” Int. J. Pavement Eng.IJPEF7, 12(1), 87–97.
FICO. (2009). Xpress-optimizer—Reference manual, release 20.00, Fair Isaac Corporation, Warwickshire, UK, 1–470.
Fwa, T., Chan, W., and Hoque, K. (2000). “Multiobjective optimization for pavement maintenance programming.” J. Transp. Eng.JTPEDI, 126(5), 367–374.
Gabriel, S., Ordóñez, J., and Faria, J. (2006). “Contingency planning in project selection using multiobjective optimization and chance constraints.” J. Infrastruct. Syst.JITSE4, 12(2), 112–120.
Gaurav, S., and Khazanovich, L. (2011). “Optimal design of flexible pavements using a framework of DAKOTA and MEPDG.” Int. J. Pavement Eng.IJPEF7, 12(2), 137–148.
Gendreau, M., and Potvin, J. (2005). “Metaheuristics in combinatorial optimization.” Ann. Oper. Res.AOREEV, 140(1), 189–213.
Golabi, K., Kulkarni, R., and Way, G. (1982). “A state-wide pavement management system.” InterfacesINFAC4, 12(6), 5–21.
Hadi, M., and Arfiadi, Y. (2001). “Optimum rigid pavement design by genetic algorithms.” Comput. Struct.CMSTCJ, 79(17), 1617–1624.
Holland, J. (1975). Adaptation in natural and artificial systems, Univ. of Michigan, Ann Arbor, MI, 1–206.
IBM. (2009). IBM ILOG CPLEX 12.1—Reference manual, IBM Corporation, Armonk, NY, 1–884.
JAE. (1995). Manual of pavement structures for the Portuguese road network, Junta Autónoma de Estradas, Lisboa, Portugal, 1–54 (in Portuguese).
Jorge, D., and Ferreira, A. (2011). “Road network pavement maintenance optimisation using the HDM-4 pavement performance prediction models.” Int. J. Pavement Eng.IJPEF7, 13(1), 39–51. .
Li, Z. (2009). “Stochastic optimization model and solution algorithm for highway investment decision making under budget uncertainty.” J. Transp. Eng.JTPEDI, 135(6), 371–379.
Li, Z., and Sinha, K. (2009). “Application of Shackle’s model and system optimization for highway investment decision making under uncertainty.” J. Transp. Eng.JTPEDI, 135(3), 129.
Loizos, A., Karlaftis, A., and Karlaftis, M. (2007). “An approach for optimizing pavement design-redesign parameters in PPP projects.” Struct. Infrastruct. Eng., 3(3), 257–265.
Madanat, S., Park, S., and Kuhn, K. (2006). “Adaptive optimization and systematic probing of infrastructure system maintenance policies under model uncertainly.” J. Infrastruct. Syst.JITSE4, 12(3), 192–198.
Mamlouk, M., and Zaniewski, J. (2001). “Optimizing pavement preservation: An urgent demand for every highway agency.” Int. J. Pavement Eng.IJPEF7, 2(2), 135–148.
Mamlouk, M., Zaniewski, J., and He, W. (2000). “Analysis and design optimization of flexible pavement.” J. Transp. Eng.JTPEDI, 126(2), 161–167.
Mbwana, J., and Turnquist, M. (1996). “Optimization modeling for enhanced network-level pavement management system.” Transportation Research Record 1524, Transportation Research Board, Washington, D.C., 76–85.
Meneses, S., Ferreira, A., and Collop, A. (2011). “Multi-objective decision-aid tool for pavement management.” Proc. Inst. Civ. Eng. Transp., in press.
Michalewicz, Z., and Fogel, D. (2004). How to solve it: Modern heuristics, Springer-Verlag, Berlin, 1–554.
Nunoo, C., and Mrawira, D. (2004). “Shuffled complex evolution algorithms in infrastructure works programming.” J. Comput. Civ. Eng.JCCEE5, 18(3), 257–266.
Picado-Santos, L., and Ferreira, A. (2008). “Contributions to the development of the Portuguese road administration’s pavement management system.” Proc., 3rd European Pavement and Asset Management Conf., CD Ed., Univ. of Coimbra, Coimbra, Portugal, 1–10.
Picado-Santos, L., et al. (2004). “The pavement management system for Lisbon.” Proc. Inst. Civ. Eng. Munic. Eng., 157(3), 157–165.
Rajbongshi, P., and Das, A. (2008). “Optimal asphalt pavement design considering cost and reliability.” J. Transp. Eng.JTPEDI, 134(6), 255–261.
Randolph, N., and Gardner, D. (2008). Professional visual studio 2008, Wiley, Indianapolis, 1–946.
Rouphail, N. (1985). “Minimum-cost design of flexible pavements.” J. Transp. Eng.JTPEDI, 111(3), 196–207.
Santos, J., and Ferreira, A. (2011). “Life-cycle cost analysis system for pavement management at project level.” Int. J. Pavement Eng., iFirst article, 1–14.
Shell. (1978). Shell pavement design manual—Asphalt pavements and overlays for road traffic, Shell International Petroleum Company, London.
Timm, D., and Newcomb, D. (2006). “Perpetual pavement design for flexible pavements in the US.” Int. J. Pavement Eng.IJPEF7, 7(2), 111–119.
Wang, K., and Zaniewski, J. (1996). “20/30 hindsight: The new pavement optimization in the Arizona state highway network.” InterfacesINFAC4, 26(3), 77–89.
Wu, Z., and Flintsch, G. (2009). “Pavement preservation optimization considering multiple objectives and budget variability.” J. Transp. Eng.JTPEDI, 135(5), 305–315.
Yoo, J., and Garcia-Diaz, A. (2008). “Cost-effective selection and multi-period scheduling of pavement maintenance and rehabilitation strategies.” Eng. Optim.EGOPAX, 40(3), 205–222.
Information & Authors
Information
Published In
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Apr 28, 2011
Accepted: Dec 14, 2011
Published online: Dec 17, 2011
Published in print: Jul 1, 2012
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.