Title :
Event-Driven Model and Clustering Algorithm for the Single Airport Ground-Holding Problem
Author :
Wang, Lili ; Zhang, Zhaoning ; Dai, Fuqing
Author_Institution :
Coll. of Air Traffic Manage., Civil Aviation Univ. of China, Tianjin
Abstract :
An effective method for reducing the delay cost in air traffic flow management is to use ground-holding policy (GHP) . A new single airport ground-holding event-driven model was present considering that the different aircraft has the different delay cost. Discrete-event analysis method was used to model for the problem. The concept of delay time equivalent quantity and the clustering algorithm were present to solve the combination optimization problem, which can shorten the computing time visibly. The simulation results using the Guangzhou airport data validate the feasibility of the proposed model and algorithm
Keywords :
air traffic control; airports; combinatorial mathematics; cost optimal control; delays; discrete event systems; pattern clustering; air traffic flow management; aircraft; airport ground-holding problem; clustering algorithm; combination optimization; delay cost reduction; discrete-event analysis; event-driven model; ground-holding policy; Air traffic control; Aircraft; Airports; Clustering algorithms; Computational modeling; Costs; Delay effects; Educational institutions; Intelligent control; Traffic control; air traffic flow management; clustering algorithm; delay time equivalent quantity; event-driven model; ground-holding algorithm;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713652
