DocumentCode :
2535253
Title :
SURF IA conflict detection and resolution algorithm evaluation
Author :
Jones, Denise R. ; Chartrand, R.C. ; Wilson, S.R. ; Commo, S.A. ; Otero, S.D. ; Barker, G.D.
Author_Institution :
Nat. Aeronaut. & Space Adm., Hampton, VA, USA
fYear :
2012
fDate :
14-18 Oct. 2012
Abstract :
The Enhanced Traffic Situational Awareness on the Airport Surface with Indications and Alerts (SURF IA) algorithm was evaluated in a fast-time batch simulation study at the National Aeronautics and Space Administration (NASA) Langley Research Center. SURF IA is designed to increase flight crew situation awareness of the runway environment and facilitate an appropriate and timely response to potential conflict situations. The purpose of the study was to evaluate the performance of the SURF IA algorithm under various runway scenarios, multiple levels of conflict detection and resolution (CD&R) system equipage, and various levels of horizontal position accuracy. This paper gives an overview of the SURF IA concept, simulation study, and results.
Keywords :
air safety; air traffic; airports; human factors; Langley Research Center; National Aeronautics and Space Administration; SURF IA; airport surface with indications and alerts algorithm; conflict detection and resolution algorithm evaluation; enhanced traffic situational awareness; flight crew situation awareness; runway environment; Accuracy; Air traffic control; Aircraft; Airports; Atmospheric modeling; Safety; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2012 IEEE/AIAA 31st
Conference_Location :
Williamsburg, VA
ISSN :
2155-7195
Print_ISBN :
978-1-4673-1699-6
Type :
conf
DOI :
10.1109/DASC.2012.6382371
Filename :
6382371
Link To Document :
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