Study On Dynamic Terminal Airspace Capacity Evaluation And Deviation Under Hazardous Weather

Hazardous weather threatens flight safety and reduces airspace operational efficiency. Terminal airspace suffers from the effect more seriously due to the complicated airspace structure and massive flight flow. It has been desiderative to build an accurate dynamic capacity evaluation model and to find an efficient dynamic deviation route, which are both based on defining the scope of hazardous weather. In this thesis, four methodologies have been developed, which are as follows.1. A three-dimensional flight restricted zone establishing method is submitted according to real-time data exacted from Doppler meteorological radar. Firstly, an axis-aligned bounding box is built with the key points from the data, and have it layered and pasteurized. Secondly, the box is scanned and the convex hull points are picked up hereby, shaping a flight dangerous zone. The flight restricted zone is obtained by geometric projection of the flight dangerous zone.2. A network model is created to evaluate dynamic capacity of terminal airspace under hazardous weather with the nodes of fixes, airports, and real-time-recognized flight restricted areas. Its edge capacity is drawn separately by geometrical algorithms, contributing in the solution of maxflow under the guidance of mincut/maxflow theorem. Change the sources and sinks continually, and the distribution of terminal airspace capacity will be achieved.3. A dynamic deviation method for block hazardous weather in terminal airspace is presented based on the multiple Morphin planning algorithm. Firstly, a set of arcs are generated with various changes of heading, and angles of climb/descent in accordance with the present attitude. Then each end of the arc is carried out with such operation to regenerate candidate deviation routes. Finally, the optimal route is selected with comprehensive assessments.4. A new dynamic deviation method is created to improve the safety and efficiency of terminal control areas under scattered hazardous weather. Based on basic properties of NURBS surface and hazardous zones recognized from a Doppler radar, a series of control points are set to shape a safe NURBS surface. The optimal deviation route is selected through geometrical algorithms, and it is updated by setting real-time control points.