Computer Science – Systems and Control
Scientific paper
2011-02-08
Computer Science
Systems and Control
10 pages, 14 figures, Submitted to USA/Europe ATM Seminar 2011
Scientific paper
This paper takes an empirical approach to identify operational factors at busy airports that may predate go-around maneuvers. Using four years of data from San Francisco International Airport, we begin our investigation with a statistical approach to investigate which features of airborne, ground operations (e.g., number of inbound aircraft, number of aircraft taxiing from gate, etc.) or weather are most likely to fluctuate, relative to nominal operations, in the minutes immediately preceding a missed approach. We analyze these findings both in terms of their implication on current airport operations and discuss how the antecedent factors may affect NextGen. Finally, as a means to assist air traffic controllers, we draw upon techniques from the machine learning community to develop a preliminary alert system for go-around prediction.
Frazzoli Emilio
Gariel Maxime
Spieser Kevin
No associations
LandOfFree
On the Statistics and Predictability of Go-Arounds does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On the Statistics and Predictability of Go-Arounds, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the Statistics and Predictability of Go-Arounds will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-501938