Context Aware Air Traffic Management System

The main goal of modern Air Traffic management systems is safety of the flights, efficient and proficient operation under the controller's responsibility. However, these systems have to satisfy user preferences and convenience to the maximum extent as possible. Providing safety requires a reliable detection and an effective resolution of impending intersections of airplane trajectories, which is referred to as conflict resolution. In this paper, a context-aware architecture for solving the problem of conflict resolution has been proposed. The architecture is divided into three stages which are sensing, reasoning and acting stage. In the reasoning stage, an algorithm for generating resolved paths has been introduced. Genetic algorithms have been utilized to generate safe paths that optimize fuel consumption and time delay. Two ways are suggested to solve this problem by either 2D maneuvering depending on theheading angle as a control parameter or 3D maneuvering depending on both heading angleand flight path angle. Simulation results showed the validity and the effectiveness of theproposed algorithm in terms of satisfying user preferences by providing a smooth path. In addition, the algorithm was able to propose resolved paths that maintain g-load, haveminimal fuel consumption and have less time delay.