• DocumentCode
    623272
  • Title

    Rerouting strategy research based on improved ant colony algorithm

  • Author

    Lili Wang ; Huidong Yang

  • Author_Institution
    Coll. of Air Traffic Manage., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    766
  • Lastpage
    770
  • Abstract
    Flight rerouting is an important strategy in the airspace with the limit of heavy weather and flight conflict. First, the grid method was utilized to build the model for diverting airspace environment based on numerical weather prediction features in severe weather. In considering the air traffic rules and aircraft performance, a new rerouting path planning method based on the improved ant colony algorithm was proposed under the limitation of changing times of heading, turning angels and flying distance. Finally, the flight path of Guiyang-Changsha was studied. Simulation results show that the proposed method can search a safe and feasible temporary flight rerouting path between the local flow constrained area and others, and improves the utilization rate of the airspace effectively.
  • Keywords
    airports; optimisation; vehicle routing; Guiyang-Changsha flight path; airspace; flight conflict; flight rerouting; grid method; heavy weather; improved ant colony algorithm; local flow constrained area; numerical weather prediction features; rerouting path planning method; rerouting strategy research; Aircraft; Algorithm design and analysis; Atmospheric modeling; Conferences; Meteorology; Path planning; Planning; air traffic planning; grid method; improved ant colony algorithm; rerouting strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-6320-4
  • Type

    conf

  • DOI
    10.1109/ICIEA.2013.6566470
  • Filename
    6566470