Research on automatic planning method of green departure flight procedure in complex terrain airports

Obstacle clearance is a primary task in the design of instrument flight procedures, which significantly impact fuel consumption and pollutant emissions during flights. In this paper, we introduce a green departure procedure planning method that integrates an optimization model to minimize both the risk of obstacle collisions and emissions. We have adopted the linear regression terrain fitting method to reduce computational complexity in calculation of obstacle collision risk. Additionally, the Boeing Fuel Flow Method 2 is utilized to model the emission of various pollutants. To address the path planning problem, the fallback mechanism and the direction of the search range within the A* algorithm are enhanced. These improvements have led to a reduction in computational complexity and have decreased the likelihood of planning failures. We use Xining Airport as a case study to validate the method proposed in this paper. The experimental results indicate that our proposed planning method can effectively produce a green departure flight procedure. Compared to the currently published procedures, the flight procedure generated by our method is more closely aligned with the average tracks of historical flights. This indicates that our procedure is better suited to actual flight habits. Moreover, there is a significant reduction in both the length of the flight path and total emissions