With the rapid growth in demand for air transportation, flight congestion and delays in the terminal maneuvering area(TMA) have become increasingly frequent. To address the flight scheduling issue in the TMA, an optimization model considering flight priority was proposed. A flight scheduling model for TMA based on priority was developed, with the objective of minimizing flight delay time and terminal area flight time under the constraints of flight time windows and safety intervals. The entropy weight TOPSIS method was used to evaluate flight priorities, and an improved R F algorithm (IRF algorithm) was employed to solve the scheduling model. Simulation results demonstrated that this method significantly reduces flight delays and enhances terminal area traffic management efficiency, especially during peak traffic periods. The study provides theoretical support and practical guidance for flight scheduling management in the TMA.