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

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8568

Lastpage

8571

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713652

Filename

1713652