• DocumentCode
    2855337
  • Title

    Beta-mesh - A dynamic 3D mesh modelization

  • Author

    Caron, G.M. ; Hadjaz, A.

  • Author_Institution
    Thales Air Syst., Rungis, France
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    2148
  • Lastpage
    2153
  • Abstract
    In this paper, we intend to introduce a new paradigm to ease the path from the optimization research area towards the operational use: how to inject automation in ATM by integrating several constraints without increasing the complexity for the controller? The fundamental idea is to model the airspace linked to the ground to connect all the possible trajectories through a mesh representing the space of possible trajectories. One objective is to reinforce the realism of the trajectory by combining the aircraft performances to automatic learning and procedural patterns. Thus, the multi criteria shortest path approach with its associated algorithms are used to resolve an instance created from a representative mesh with the possible trajectories for the aircrafts. The question to resolve is then: how to build this instance from the data of a 3D environment by taking into account the uncertainties?
  • Keywords
    aerospace computing; graph theory; learning (artificial intelligence); mesh generation; solid modelling; ATM; BETA-MESH; aircraft performances; automatic learning; dynamic 3D mesh modelization; multicriteria shortest path approach; procedural patterns; Aerospace control; Aircraft; Atmospheric modeling; Complexity theory; Optimization; Trajectory; Uncertainty; flow management; gate to gate; graph; mesh; optimization; shortest path algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991291
  • Filename
    5991291