• DocumentCode
    3345712
  • Title

    Dynamic receding horizon control for airport capacity management

  • Author

    Liu, Junqiang ; Guan, Xiaoling

  • Author_Institution
    Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    2746
  • Lastpage
    2749
  • Abstract
    The major goal of air traffic management is to strategically control the flow of airport traffic. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation in airport environment. This paper uses the concept of dynamic receding horizon control (DRHC) to conduct real-time planning for airport capacity management. A feasible algorithm is then designed from DRHC point of view. It is shown that DRHC provides a generic and flexible framework for developing real-time allocation algorithms for airport capacity in a dynamic and uncertain environment. A simulation study shows that the algorithm is effective and efficient to solve the problem.
  • Keywords
    air traffic control; airports; resource allocation; air traffic management; airport capacity management; airport traffic; dynamic environment; dynamic receding horizon control; real-time allocation algorithm; real-time planning; uncertain environment; Aerodynamics; Air traffic control; Airports; Algorithm design and analysis; Capacity planning; Educational institutions; Environmental management; Optimization methods; Traffic control; Uncertainty; Dynamic receding horizon control; airport capacity management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535400
  • Filename
    5535400