• DocumentCode
    87385
  • Title

    Automated Aircraft Trajectory Prediction Based on Formal Intent-Related Language Processing

  • Author

    Besada, J.A. ; Frontera, Guillermo ; Crespo, Joao Bernardo ; Casado, Enrique ; Lopez-Leones, Javier

  • Author_Institution
    Univ. Politec. de Madrid, Madrid, Spain
  • Volume
    14
  • Issue
    3
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1067
  • Lastpage
    1082
  • Abstract
    This paper proposes a new paradigm for the formulation of aircraft trajectory computation and prediction processes. Under this paradigm, an aircraft trajectory can be expressed at different levels of detail using a set of novel intent-related formal languages. These languages can be used for describing different aspects of aircraft motion or the resulting predicted trajectory, ranging from high-level restrictions imposed on the trajectory to details on how the aircraft will be operated at any specific instant. After defining the complete hierarchy of these formal languages, the concept of trajectory language processing engine is introduced. Every engine can perform automated modifications over a trajectory specified at different levels or at the same level considering the language hierarchy. Finally, several engine examples are described, and a complete trajectory computation process is built as an engine composed through the smart interconnection of several engines. Examples of executions of these automated processes are also included.
  • Keywords
    aerospace computing; air traffic; aircraft; formal languages; aircraft motion; aircraft trajectory computation; automated aircraft trajectory prediction; formal intent-related language processing; intent-related formal languages; language hierarchy; trajectory computation process; trajectory language processing engine; Flight specification; formal languages; trajectory prediction; trajectory synchronization; trajectory-based operations;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2013.2252343
  • Filename
    6523095