Intelligent Optimization Of Trajectory In Terminal Area Under Severe Weather Conditions

The severe weather affects flight security extraordinarily and is the leading cause of flight delays, so rerouting becomes an important strategy issue of air traffic flow management. The intelligent optimization of trajectory in terminal-area under severe weather conditions is mainly considered in this thesis.The airspace model in terminal-area is built and the weather radar image used in this study and method of processing meteorological data are introduced first.Considering changes of position and shape of the weather clouds, the methods of designing flight forbidden area caused by uncertain weather are summarized from 2aspects(static and dynamic). The minimum enclosing rectangle(MER) method is used as an example to expand the flight forbidden area from 2D to 3D. And the procedure which is used to predict the movement state of severe weather by using kalman filter is simulated.Combining with the actual conditions in terminal-area, the spatial used for planning is expanded from 2D to 3D and the expression of the height of aircraft is converted to the flight level. Obstacles on the floor which may affect the safety of low-level aircraft operations are added to the constraints and the other limiting conditions which are related to A* algorithm are described. The “fold distance” of the heuristic function was used instead of its Euclidean distance and the extension direction of the node is optimized. In consideration of the dynamic change of weather and the other environmental information, ways about processing the dynamic obstacles based on A* algorithm are proposed for the realization of dynamic optimization of trajectory in terminal area.The program realization of A* algorithm is elaborated from 2 aspects(set representation and space used by calculated paths). Finally examples are used to analysis and evaluate the theory and methods in this thesis based on MATLAB.