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Context Aware Air Traffic Management System

机译:背景知识空中交通管理系统

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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.
机译:现代化的空中交通管理系统的主要目的是的航班,在控制器的责任高效和熟练的操作安全性。然而,这些系统必须满足用户偏好和方便在最大程度上成为可能。提供安全需要一个可靠的检测和即将发生的飞机轨迹,这被称为解决冲突的交叉点的有效分辨率。在本文中,为解决冲突解决的问题情景感知架构已经提出。该架构被划分成三个阶段被感测,推理和作用级。在推理阶段,用于产生路径解析的算法已被引入。遗传算法已经用来生成安全路径,以优化燃料消耗和时间delay.Two方式被建议由任一2D取决于theheading角作为控制参数或3D取决于两个标题angleand航迹角的操纵的操纵来解决这个问题。仿真结果表明,有效性和theproposed算法在通过提供平滑path.In除了满足用户喜好方面的有效性,该算法能够提出维持G-负荷,haveminimal油耗,很少有时间延迟解决路径。

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