Three different techniques are used to solve the conflicts between aircraft in the air traffic management system. These are speed change (SC), vector maneuvering (VM), and flight level change (FLC). The safe separation between aircraft is ensured using these techniques. Literature handles determining and applying the most efficient approach to the conflict resolution problem (CRP). Several optimization algorithms are proposed to solve the problem. While some studies handled the conflict resolution methods separately, some make comparisons or consider them together. This study enhances a mixed integer conflict resolution model previously presented in the literature to validate and improve these efforts. SC and VM techniques are handled separately and compared to each other regarding fuel and flight time efficiency. In addition, more advanced speed constraints, calculated based on aircraft types, were integrated into the model. Linear regression equations were also integrated into the model, and speed and flight level-dependent fuel calculations, were performed for each aircraft type. As a result, although average flight time increased by 4% in the SC method, it provided 1.84% average fuel savings compared to VM.


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    Titel :

    Comparison of the Speed Change and Vector Maneuver Techniques for the Conflict Resolution Problem: Fuel and Flight Time Analysis


    Weitere Titelangaben:

    Sustainable aviat.


    Beteiligte:
    Karakoc, T. Hikmet (Herausgeber:in) / Letnik, Tomislav (Herausgeber:in) / Marksel, Maršenka (Herausgeber:in) / Ekmekci, Ismail (Herausgeber:in) / Dalkiran, Alper (Herausgeber:in) / Ercan, Ali Haydar (Herausgeber:in) / Dönmez, Kadir (Autor:in) / Cecen, Ramazan Kursat (Autor:in)

    Kongress:

    International Symposium on Electric Aircraft and Autonomous Systems ; 2022 ; Maribor, Slovenia July 19, 2022 - July 21, 2022



    Erscheinungsdatum :

    2023-08-24


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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