Research On Optimization Of Aircraft Taxiing At The Airport Surface Based On 4D Trajectory

In recent years,the vigorous development of China's economy has driven unprecedented growth in the civil aviation industry,but at the same time,the rapid development momentum has also brought greater pressure to the operation of civil aviation airports.The airport's resources are tight,taxiway congestion and conflicts,and runway incursions frequently occur,which further reduces the on-time rate of flights and increases taxiing fuel consumption,which seriously threatens the airport's operational safety and efficiency.In order to alleviate the pressure of airport operation,improve the flight punctuality rate and the normal rate of airport release,and realize the sustainable development of the civil aviation industry,this paper presents a research on the optimization of taxiing paths of aircraft surfaces based on 4D tracks.First,analyze the network connection of the surface,based on the establishment of the airport topology,and based on the aircraft's path request information,by adding the consideration of the number of turns in the traditional static path planning,using the improved A * algorithm,the P static paths with the shortest sum of the straight line distance and the turning distance of the aircraft are finally obtained as the set of feasible taxi paths.Secondly,the aircraft movement model is simplified and the taxiway is discretized.The independent variables such as acceleration and distance at different stages of the taxi are defined.Based on weighing the aircraft taxi time and fuel consumption,the Pareto optimal value of the independent variables is searched to determine the aircraft's taxi speed profile,generate a more accurate multi-target speed profile considering time and fuel efficiency for each pre-selected path,and complete the 4D flight path prediction of the aircraft at the airport surface.Finally,the airport surface active area is divided according to the airport network connection relationship.Based on this,the area occupied time window of the 4D track prediction result is solved,and the area occupied time window of the 4D track is detected.For conflicting aircraft,based on comparing their priorities,they choose to wait or change paths to resolve taxi conflicts,and finally generate conflict-free taxi paths for the aircraft and dynamically update the pre-selected path time window.In order to simulate the related requirements of the routing function in A-SMGCS to ensure that the dynamic path planning method mentioned in this article is available and accurate,based on the Tkinter graphical interface module provided by Python and the visualization function of Matplotlib,the aircraft dynamic path planning simulation systems is designed and implemented.This system can predict the aircraft's taxiing 4D trajectory according to the aircraft's path planning needs,and can perform the aircraft's taxiing path planning in real time and dynamically.The simulation of Xi'an Xianyang International Airport's full-day flight volume shows that the system can automatically detect aircraft path planning requirements,and perform real-time monitoring,precise routing,and airport surface conflict control.