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
Link To Document :
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