Traffic demand forecasting is a crucial step in the process of urban transportation planning, management, and operation. In developed countries around the world, the application of forecasting models is almost mandatory and brings significant benefits. However, in Vietnam, there have been relatively few studies on the application of traffic demand forecasting models. This research introduces the application of such a model in Hai Phong City and identifies the challenges and solutions to improve the implementation of traffic demand forecasting models in Vietnam. We believe that these results will support policymakers and researchers with a basis for enhancing the effectiveness of urban transportation planning, management, and operation. By applying forecasting models, decisionmakers can make more informed choices, leading to better traffic management and more efficient transportation systems in Vietnamese cities. The study's insights are expected to contribute to the overall improvement of transportation policies and practices in the country.