IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i8p1559-d225663.html
   My bibliography  Save this article

Impact of Trajectories’ Uncertainty in Existing ATC Complexity Methodologies and Metrics for DAC and FCA SESAR Concepts

Author

Listed:
  • Victor Fernando Gomez Comendador

    (School of Aerospace Engendering, Technical university of Madrid, 28040 Madrid, Spain)

  • Rosa María Arnaldo Valdés

    (School of Aerospace Engendering, Technical university of Madrid, 28040 Madrid, Spain)

  • Andrija Vidosavljevic

    (ENAC, Université de Toulouse, 31055 Toulouse CEDEX 4, France)

  • Marta Sanchez Cidoncha

    (CRIDA A.I.E ATM R&D + Innovation Reference Centre, 28022 Madrid, Spain)

  • Shutao Zheng

    (CRIDA A.I.E ATM R&D + Innovation Reference Centre, 28022 Madrid, Spain)

Abstract

The most relevant SESAR 2020 solutions dealing with future Capacity Management processes are Dynamic Airspace Configuration (DAC) and Flight Centric ATC (FCA). Both concepts, DAC and FCA, rely on traffic flow complexity assessment. For this reason, complexity assessments processes, methods and metrics, become one of the main constraints to deal with the growing demand and increasing airspace capacity. The aim of this work is to identify the influence of trajectories’ uncertainty in the quality of the predictions of complexity of traffic demand and the effectiveness of Demand Capacity Balance (DCB) airspace management processes, in order to overcome the limitations of existing complexity assessment approaches to support Capacity Management processes in a Trajectory-Based Operations (TBO) environment. This paper presents research conducted within COTTON project, sponsored by the SESAR Joint Undertaking and EU’s Horizon 2020 research and innovation program. The main objective is to deliver innovative solutions to maximize the performance of the Capacity Management procedures based on information in a TBO environment.

Suggested Citation

  • Victor Fernando Gomez Comendador & Rosa María Arnaldo Valdés & Andrija Vidosavljevic & Marta Sanchez Cidoncha & Shutao Zheng, 2019. "Impact of Trajectories’ Uncertainty in Existing ATC Complexity Methodologies and Metrics for DAC and FCA SESAR Concepts," Energies, MDPI, vol. 12(8), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1559-:d:225663
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/8/1559/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/8/1559/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1559-:d:225663. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.