The aim of this study was to evaluate the changes in forest road pavement bearing capacity (PBC) depending on meteorological conditions, traffic effects and horizontal curve parameters for a year on a monthly basis. Within this context, two different roads were investigated and measured with dynamic cone-penetrometer. The total number of the measurement points was 265 for traffic-restricted road (road no: 001-RN1) and 315 for open traffic road (road no: 005-RN2). In the study, three multiple regression models were developed to estimate PBC values on forest road. According to Model1, which was developed to estimate PBC values depending on vehicle traffic and on meteorological factors for alignment section of the RN2, the adjusted R-2 was found to be 0.635. In Model2 for the curve section of the RN2, the adjusted R-2 was found to be 0.711. Model3 for RN1 depending on meteorological factors demonstrated that the accuracy of PBC estimation had a high adjusted R-2, which was 0.952. In conclusion, PBC values can be estimated at high accuracy. Furthermore, traffic load has a strong effect on PBC. On the other hand, temperature has an important negative effect on the variation in PBC on RN1.