Abaza K (2002) An optimum flexible pavement life-cycle analysis model. ASCE J Transp Eng 128(6):542–549
Abaza K, Abu-Eisheh S (2003) An optimum design approach for flexible pavements. Int J Pavement Eng 4(1):1–11
Abaza K (2004) Deterministic performance prediction model for rehabilitation and management of flexible pavement. Int J Pavement Eng 5(2):111–121
Abaza K, Murad M (2009) Prediction of flexible pavement remaining strength and overlay design thickness using stochastic modelling.
Transportation Research Record 2094, TRB, Washington, D.C., pp. 62–70
American Association of State Highway and Transportation Officials, AASHTO (1993) AASHTO guide for design of pavement structures. Washington, D.C.
Asphalt Institute, AI (1999) Thickness design-asphalt pavements for highways and streets, manual series no. 1, 9th edition, Lexington, KY
Banerjee A, Aguiar-Moya J, Prozzi J (2009) Texas experience using LTPP for calibration of the MEPDG permanent deformation models.
Transportation Research Record 2094, TRB, Washington, D.C., pp. 12–20
Bari J, Witczak M (2007) New predictive models for the viscosity and complex shear modulus of asphalt binders for use with the mechanistic-empirical pavement design guide.
Transportation Research Record 2001, TRB, Washington, D.C., pp. 9–19
Butt A, Shahin M, Feighan J, Carpenter S (1987) Pavement performance prediction model using the Markov Process.
Transportation Research Record 1123, TRB, National Research Council, Washington, D.C., pp. 12–19
California Department of Transportation, Caltrans (2008) Highway Design Manual (HDM), 6th edition. Sacramento, CA
Dore G, Drouin P, Desrochers P, Ullidtz P (2006) Estimation of the relationships of flexible pavement deterioration to traffic and weather in Canada. Proceedings of the
10th International Conference on Asphalt Pavements, International Society for Asphalt Pavements, August 12–17, Quebec City, Canada
Federal Highway Administration, FHWA (1994) Life-cycle cost analysis summary of proceedings, life- cycle cost symposium, searching for solutions. A policy discussion series, no.12, FHWA, Washington, D.C.
George K, Rajagopal A, Lim L (1989) “Models for predicting pavement deterioration”, Transportation Research Record 1215, TRB. National Research Council, Washington, D.C., pp 1–7
Huang Y (2004) Pavement analysis and design, second edition. Pearson/Prentice Hall, Upper Saddle River
Li N, Xie W, Haas R (1996) Reliability-based processing of Markov Chains for modeling pavement network deterioration.
Transportation Research Record 1524, TRB, Washington, D.C., pp. 203–213
Nichols Consulting Engineers, Chtd. (2009) California Statewide Local Streets and Roads Needs Assessment. Final Report, October 20, Pt. Richmond, CA
Peterson D (1987) NCHRP synthesis of highway practice, report 135: pavement management practices. Transportation Research Board, National Research Council, Washington, D.C.
Shahin M, Stock C, Beckberger L (1994) Comparing pavement performance and its effect on maintenance and rehabilitation cost. Proceedings of the
Third International Conference on Managing Pavement, Transportation Research Board, Washington, D.C., Vol. 1, pp. 237–245
Sheflin M (1983) Your choice: bad roads at high cost or good roads at low cost. Special Forum Report, Paving Forum
Transportation Research Board, TRB (2004) Guide for mechanistic-empirical design of new and rehabilitated pavement structures, Final Report, National Cooperative Highway Research Program, National Research Council, Washington, D.C.
Wang K, Li Q, Hall K, Nguyen V, Gong W, Hou Z (2008) Database Support for the New Mechanistic-Empirical Pavement Design Guide (MEPDG)
, Transportation Research Record 2087, TRB, Washington, D.C., pp. 109–119
Yoder E, Witczak M (1975) Principles of pavement design, Second edition. John Wiley and Sons, Inc