During the development of pavement design methods, the MEPDG is evolved by NCHRP 1-37 project. This reason led the roadway agencies to implement the MEPDG. To implement MEPDG, the local calibration is necessary to increase the accuracy of distress models used in MEPDG to predicted pavement performance, because these models were derived depending on the conditions of the United States. This study aims to the calibration of MEPDG based on the conditions of Riyadh, Saudi Arabia. The rutting and IRI models were calibrated using an optimization approach embedded in MS Excel (namely, solver optimization). The study results reveal that the adjusted coefficients are appropriate for this study because the new coefficients of the rutting models reduced the bias from 4.90 to 0.03 and SSE from 317.68 to 61.71 while the new coefficients of the IRI model reduced the bias and SSE from 0.44, 0.31 to 0, 0.03 respectively.

在路面设计方法的发展过程中，MEPDG 由 NCHRP 1-37 项目演变而来。这个原因导致道路机构实施MEPDG。为了实施 MEPDG，本地校准对于提高 MEPDG 中使用的遇险模型预测路面性能的准确性是必要的，因为这些模型是根据美国的条件推导出来的。本研究旨在基于沙特阿拉伯利雅得的条件对MEPDG进行校准。使用嵌入在 MS Excel 中的优化方法（即求解器优化）校准车辙和 IRI 模型。研究结果表明，调整后的系数适用于本研究，因为车辙模型的新系数将偏差从 4.90 降低到 0.03，将 SSE 从 317.68 降低到 61。