DocumentCode
2535748
Title
Terminal area visualization tool for approach analysis
Author
Buchholz, A.K. ; Eftekari, R.R.
Author_Institution
Center for Adv. Aviation Syst. Dev., MITRE Corp., McLean, VA, USA
fYear
2012
fDate
14-18 Oct. 2012
Abstract
To evaluate proposed approach procedures intended to increase airfield throughput capacity the MITRE Corporation refined a fast time Monte Carlo simulation that outputs statistics (e.g., collision probability) and flight paths for thousands of synthesized scenarios. However, the simulation lacks a significant visualization capability. A subsequently developed Terminal Area Visualization (TAV) tool provides the capability to visualize flight trajectories in fast or real time using airframe and satellite imagery. The TAV tool allows the user to specify synthetic approach scenarios output from the Monte Carlo simulation (or other data sources) and simultaneously illustrates multiple perspectives of characteristics that are not clearly evident from basic statistical analyses or typically require sequential graphical analyses. Features include dynamic plan (bird´s eye) and profile views, plots of numeric data, and optional visualization of estimated wake vortex positions. This capability has been used to visually support hypotheses previously based solely on statistical output. This paper describes the need for the TAV tool, mathematical algorithms, user interface design, a case study of proposed operations for San Francisco International Airport (SFO), and other potential applications.
Keywords
Monte Carlo methods; aerospace safety; graph theory; statistical analysis; MITRE corporation; SFO; San Francisco International Airport; TAV tool; aircraft safety analysis; airfield throughput capacity; airframe imagery; estimated wake vortex position optional visualization; fast time Monte Carlo simulation; flight paths; mathematical algorithms; satellite imagery; sequential graphical analysis; statistical analysis; terminal area visualization tool; Aircraft; Data visualization; Earth; MATLAB; Monte Carlo methods; Satellites;
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.2012.6382396
Filename
6382396
Link To Document