The assessment of composite pavements is an important activity in the pavement management system due to its capability of carrying significant traffic volumes. The objective of this study is to assess the performance of in-service composite pavements to better design and provide long-life structural capacity. Eight long-term pavement performance (LTPP) composite pavement sections [flexible layer over a rigid layer: jointed plain concrete pavement (JPCP) and continuously reinforced concrete pavement (CRCP) with unbound subbase from wet-freeze climate zone] are selected for this study. AASHTOWare Pavement ME simulations are performed to predict the performance of the selected LTPP composite pavement sections using the layer thickness, material properties (Level 1 and 2 Pavement ME inputs), traffic volumes, climatic data, and national calibration prediction models. The measured field performance, in terms of rutting and international roughness index (IRI), of the selected sections, are compared with those predicted from Pavement ME over time to determine the effectiveness of AASHTOWare Pavement ME for predicting the accurate performance of composite pavements. AASHTOWare Pavement ME results overestimated the measured rut depth and IRI. The study recommends conducting additional research to develop local calibration factors for each state based on the data collected from each state LTPP and pavement management systems (PMS).