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 :
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