Induction of fuzzy rules for air traffic control

Author

Clymer, John R.

Author_Institution

Appl. Res. Center for Syst. Sci., California State Univ., Fullerton, CA, USA

Volume

2

fYear

1995

fDate

22-25 Oct 1995

Firstpage

1495

Abstract

Induced fuzzy rules containing fuzzy premise facts are used to decide how long an aircraft must wait before entering an airport approach corridor. An aircraft may need to wait if it is close to an aircraft ahead in the corridor or has an airspeed that is greater than the aircraft ahead. Adaptive rule strength modification is used to optimize airport performance in terms of wait times in queues, turnaways, and potential collisions. The results reveal that the induced/adapted fuzzy airport control rules perform better than the nonlinear algorithm used to provide the training set of cases

Keywords

adaptive control; aircraft landing guidance; airports; fuzzy control; optimal control; scheduling; adaptive rule strength modification; air traffic control; airport approach corridor; airport performance optimization; fuzzy premise facts; induced fuzzy rules; induced/adapted fuzzy airport control rules; potential collisions; queues; turnaways; wait times; Air traffic control; Aircraft; Airports; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Marine vehicles; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.537984

Filename

537984