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.


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    Title :

    Regular graph-based free route flight planning approach


    Contributors:

    Published in:

    Publication date :

    2021-07-22


    Size :

    1 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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