[1] ARA I. ERES Consultants Division. Guide for Mechanistic–Empirical Design of New and Rehabilitated Pavement Structures. Final report, NCHRP Project 1-37A. Transportation Research Board of the National Academies, Washington, D.C. 2004.
[2] Clyne TR, Li X, Marastenau MO, Skok EL. Dynamic and Resilient Modulus of Mn/DOT Asphalt Mixtures.“ Final Report MN/RC – 2003-09. University of Minnesota, Minneapolis, MN. 2003.
[3] Birgisson B, Sholar G, Roque R. Evaluation of a Predicted Dynamic Modulus for Florida Mixtures. Transp Res Rec J Transp Res Board 2005;1929:200–7. doi:10.1177/0361198105192900124.
[4] Kim YR, King M, Momen M. Typical dynamic moduli values of hot mix asphalt in North Carolina and their prediction. Transp. Res. Board 84th Annu. Meet. Compend. Pap., 2005, p. 5–2568.
[5] Schwartz CW. Evaluation of the Witczak dynamic modulus prediction model. Proc. 84th Annu. Meet. Transp. Res. Board, Washington, DC, 2005.
[6] Tran N, Hall K. Evaluating the predictive equation in determining dynamic moduli of typical asphalt mixtures used in Arkansas 2005.
[7] Robbins MM, Timm DH. Evaluation of Dynamic Modulus Predictive Equations for Southeastern United States Asphalt Mixtures. Transportation Research Record. J Transp Res Board 2011;72:122–9.
[8] Christensen Jr DW, Pellinen T, Bonaquist RF. Hirsch model for estimating the modulus of asphalt concrete. J Assoc Asph Paving Technol 2003;72.
[9] Singh D, Zaman M, Commuri S. Evaluation of Predictive Models for Estimating Dynamic Modulus of HMA Mixtures Used in Oklahoma 2010.
[10] El-Badawy S, Bayomy F, Awed A. Performance of MEPDG dynamic modulus predictive models for asphalt concrete mixtures: local calibration for Idaho. J Mater Civ Eng 2012;24:1412–21.
[11] Loria LG, Badilla G, Jimenez Acuna M, Elizondo F, Aguiar-Moya JP. Experiences in the Characterization of Materials Used in the Calibration of the AASHTO’Mechanistic-Empirical Pavement Design Guide (MEPDG) for Flexible Pavement for Costa Rica. 2011.
[12] Far MSS, Underwood BS, Ranjithan SR, Kim YR, Jackson N. Application of Artificial Neural Networks for Estimating Dynamic Modulus of Asphalt Concrete. Transp Res Rec J Transp Res Board 2009;2127:173–86. doi:10.3141/2127-20.
[13] Ceylan H, Schwartz CW, Kim S, Gopalakrishnan K. Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt. J Mater Civ Eng 2009;21:286–93. doi:10.1061/(ASCE)0899-1561(2009)21:6(286).
[14] Priddy KL, Keller PE. Artificial neural networks: an introduction. vol. 68. SPIE press; 2005.