• Title of article

    Ramp Activity Expert System for Scheduling and Coordination at an Airport

  • Author/Authors

    Jo، Geun-Sik نويسنده , , Jung، Jong-Jin نويسنده , , Koo، Ji-Hoon نويسنده , , Hyu، Sang-Ho نويسنده ,

  • Issue Information
    فصلنامه با شماره پیاپی سال 2016
  • Pages
    -74
  • From page
    75
  • To page
    0
  • Abstract
    The stand-allocation system (SAS) is an AI application developed for the Hong Kong International Airport (HKIA) at Chek Lap Kok. SAS uses constraint-programming techniques to assign parking stands to aircraft and schedules tow movements based on a set of business and operational constraints. The system provides planning, real-time operation, and problem-solving capabilities. SAS generates a stand-allocation plan that finely balances the objectives of the airline-handling agents, the convenience of passengers, and the operational constraints of the airport. The system ensures a high standard of quality in customer service, airport safety, and use of stand resources. This article describes our experience in developing an Al system using standard off-the-shelf software components. SAS is an example of how development methodologies used to construct modern Al applications have become fully inline with mainstream practices.
  • Journal title
    AI Magazine
  • Serial Year
    2000
  • Journal title
    AI Magazine
  • Record number

    2571