• DocumentCode
    2781986
  • Title

    A new flight rerouting path planning algorithm and its applications

  • Author

    Li, Xiong ; Xu, Xiaohao ; Dai, Fuqing ; Li, Dongbin

  • Author_Institution
    Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    838
  • Lastpage
    843
  • Abstract
    According to the flight rerouting problem caused by zonal severe weather areas along the flight path, a new reroute planning method based on the multi-objective dynamic planning algorithm (MODPA) is proposed. First, the environment model of air traffic rerouting problem is constructed, and the method for determining candidate rerouting points is given. Then, MODPA is applied in the flight rerouting problem, the distance and deflection of flight rerouting path are considered, and the corresponding MODPA model is given. Finally, the flight rerouting paths of Kunming-Haikou in three typical severe weather areas are studied, and compared with the rerouting method based on the polygon. Simulation results show that the zonal severe weather areas can be avoided safely and effectively by using the proposed method, the relevant limitations of flight are considered, and the alterant air route is simple and feasible.
  • Keywords
    air traffic control; path planning; air traffic rerouting problem; flight rerouting path planning algorithm; multiobjective dynamic planning algorithm; rerouting method; rerouting points; zonal severe weather areas; Circuit simulation; Educational institutions; Equations; Fuzzy logic; Mathematical model; Path planning; Photovoltaic cells; Photovoltaic systems; Power system simulation; Voltage; Air Traffic; Multi-objective Dynamic Planning; Path Planning; Rerouting; Severe Weather;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191874
  • Filename
    5191874