DocumentCode
181187
Title
A multiple hypothesis prediction method for improved aircraft state awareness
Author
Duan, Pengfei Phil ; Miltner, Matt ; de Haag, Maarten Uijt
Author_Institution
Ohio University, Avionics Engineering Center
fYear
2014
fDate
5-9 Oct. 2014
Firstpage
1
Lastpage
25
Abstract
• Flight crew´s decision making has historically been identified as one of the leading contributing and causal factors in aircraft accidents. • Flight crews may be even further removed from traditional flight duties and be required to focus even more on system management and monitoring (i.e., pilot-on-the-loop) in NextGen than system operating (i.e., pilot-in-the-loop) in current operations. • Commercial Aviation Safety Team (CAST) reports have shown that “ineffective alerting” and “invalid source data” have been frequent contributors to recent aviation accidents. • Without effective information management methods and architectures as well as alerting systems, the level of flight crew unawareness of the aircraft state may become an even more serious safety risk and result in fatal accidents in hazardous situations.
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
Conference_Location
Colorado Springs, CO, USA
Print_ISBN
978-1-4799-5002-7
Type
conf
DOI
10.1109/DASC.2014.6979563
Filename
6979563
Link To Document