Severe weather is a threat to flight safety and the main reason for delays. Rerouting strategy can effectively avoid severe weather, and rerouting path planning is a key issue of rerouting strategy. Aiming at the free flight, an improved artificial potential field model was used to generate a single flight rerouting path. Then genetic algorithm was used to select the best flight path from multiple paths. Finally, a numerical example was carried out and the relevant parameters were analyzed. The results show that the artificial potential field and genetic algorithm can achieve optimum rerouting path, and the relevant parameter values must be in a certain range to get the optimum solution.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Flight Rerouting Path Planning Based on Artificial Potential Field and Genetic Algorithm



    Erschienen in:

    Applied Mechanics and Materials ; 182-183 ; 1413-1417


    Erscheinungsdatum :

    04.06.2012


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Rerouting Path Generation in Emergency

    Jia, Limin / Wang, Li / Qin, Yong | Springer Verlag | 2021


    Massive Flights Real-Time Rerouting Planning Based on Parallel Discrete Potential Field Method

    Ding, Yang / Li, Zelin / Li, Bingyu et al. | Springer Verlag | 2021


    Improved artificial potential field algorithm for intelligent vehicle path planning

    Yuan, Zhongrui / Pan, Yulong / Chen, Haishan et al. | British Library Conference Proceedings | 2022


    Studies on in-flight aircraft rerouting

    M. A. Kiselev / Yu. S. Kalyuzhny / A. V. Karpov et al. | DOAJ | 2024

    Freier Zugriff