• DocumentCode
    1811161
  • Title

    A methodology for designing transition route network between en-route airspace and terminal areas

  • Author

    Zhao, Shuang ; Zhang, Xuejun ; Zhu, Yanbo ; Cai, Kaiquan

  • Author_Institution
    Sch. of Electron. Inf. Eng., BeiHang Univ., Beijing
  • fYear
    2008
  • fDate
    26-30 Oct. 2008
  • Abstract
    A methodology is presented, in this paper, to design the transition network around the terminal areas (TMAs). The methodology consists of two parts: the multi-objective model and the algorithm. Our model is based on the definition of the optimal transition network, which refers to a tradeoff among the economy, the safety and the structure simplicity of the network. The economy, namely the cost of the network is denoted by the mileage of all the aircraft, the safety is expressed by the attribute-the conflicts of the network, and the structure simplicity of the network is reflected by the balance of the aircraft flow entering / departing TMAs in each transition routes. Then an evolutionary optimization algorithm, non-dominated sorting genetic algorithm 2 (NSGA2), is applied to solve the model and provide the optimal transition network structure. The model is validated by the data from the transition network of Beijing TMA, which demonstrates the superiority of the methodology by the comparison of the transition network performance with the current one.
  • Keywords
    air traffic control; airports; genetic algorithms; ground support systems; en-route airspace and terminal areas; evolutionary optimization algorithm; genetic algorithm; transition route network; Aircraft; Algorithm design and analysis; Data communication; Data engineering; Design engineering; Design methodology; Geometry; Mathematical model; Telecommunication traffic; Traffic control; Multi-objective model; NSGA2; optimal transition network; transition network performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference, 2008. DASC 2008. IEEE/AIAA 27th
  • Conference_Location
    St. Paul, MN
  • Print_ISBN
    978-1-4244-2207-4
  • Electronic_ISBN
    978-1-4244-2208-1
  • Type

    conf

  • DOI
    10.1109/DASC.2008.4702867
  • Filename
    4702867