Title :
Induction of fuzzy rules for air traffic control
Author_Institution :
Appl. Res. Center for Syst. Sci., California State Univ., Fullerton, CA, USA
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;
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
DOI :
10.1109/ICSMC.1995.537984
