Developing design traffic forecasts has been a challenge to the traffic forecasting professionals. Traditionally, travel demand models are the common tools used in traffic forecasting. The model results are generally post-processed to develop design traffic forecasts. Adjusting out the travel demand model results in a systematic manner is referred to as post-processing here. The post-processing of model results is always a needed step, as the results from the model runs may not be accurate at the corridor level. The post-processing effort becomes even more significant when developing turning movement estimates. Traffic forecasters face challenges to achieve consistent, reliable, and accurate forecasts, while developing the design traffic forecasts for different years of analysis. In this project, an attempt was made to develop an alternative approach to the manual post-processing effort using matrix estimation software. The paper identifies issues faced in traditional forecasting techniques, and proposes alternative solutions. The goal of this approach is twofold – first, achieving realistic design hour forecasts; second, achieving reasonable future turning movement predictions. Case study results, performed on the proposed I-95 managed lanes corridor in Southeast Florida, are demonstrated. Comparisons of the results of the new approach with the conventional methods are presented.