DocumentCode
181190
Title
Robust, integrated arrival-departure-surface scheduling based on Bayesian networks
Author
Saraf, Aditya ; Ramamoorthy, Kris ; Stroiney, Steven ; Sawhill, Bruce ; Herriot, Jim
Author_Institution
Saab Sensis Corporation
fYear
2014
fDate
5-9 Oct. 2014
Firstpage
1
Lastpage
21
Abstract
• PROCAST combines two complementary technologies for performing integrated arrival-departure-surface trajectory optimization under uncertainty • BBNs provide a fast-computation method for generating multiple possible future traffic scenarios • GA optimizer provides an effective method to optimize trajectories for each of the multiple future traffic scenarios • Preliminary assessment shows good promise, but more rigorous tests are needed • Next steps • Extend the analysis to cover JFK terminal airspace, and further to cover the entire New York metroplex • Assess PROCAST benefits with a wider set of traffic scenarios
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.2014.6979566
Filename
6979566
Link To Document