Purpose

The purpose of this study is to provide an alternative graph-based airspace model for more effective free-route flight planning.

Design/methodology/approach

Based on graph theory and available data sets describing airspace, as well as weather phenomena, a new FRA model is proposed. The model is applied for near to optimal flight route finding. The software tool developed during the study and complexity analysis proved the applicability and timed effectivity of the flight planning approach.

Findings

The sparse bidirectional graph with edges connecting only (geographically) closest neighbours can naturally model local airspace and weather phenomena. It can be naturally applied to effective near to optimal flight route planning.

Research limitations/implications

Practical results were acquired for one country airspace model.

Practical implications

More efficient and applicable flight planning methodology was introduced.

Social implications

Aircraft following the new routes will fly shorter trajectories, which positively influence on the natural environment, flight time and fuel consumption.

Originality/value

The airspace model proposed is based on standard mathematical backgrounds. However, it includes the original airspace and weather mapping idea, as well as it enables to shorten flight planning computations.

中文翻译：

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基于规则图的自由航线飞行规划方法

目的

本研究的目的是为更有效的自由航线飞行规划提供一种替代的基于图的空域模型。

设计/方法/方法

基于图论和描述空域和天气现象的可用数据集，提出了一种新的 FRA 模型。该模型适用于接近最优飞行路线的寻找。在研究和复杂性分析期间开发的软件工具证明了飞行计划方法的适用性和时间有效性。

发现

具有仅连接（地理上）最近邻居的边的稀疏双向图可以自然地模拟本地空域和天气现象。它可以自然地应用于有效的接近最优的飞行路线规划。

研究限制/影响

获得了一个国家空域模型的实际结果。

实际影响

引入了更有效和适用的飞行计划方法。

社会影响

沿新航线飞行的飞机将飞行更短的轨迹，这对自然环境、飞行时间和燃料消耗产生积极影响。

原创性/价值

提出的空域模型基于标准数学背景。但是，它包含了原始的空域和天气映射思想，并且能够缩短飞行计划计算。