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Visual analytics of flight trajectories for uncovering decision making strategies

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Fuchs, G., Scarlatti, D., Cordero Garcia, J. M., Vouros, G. A., Herranz, R. and Marcos, R. (2018). Visual analytics of flight trajectories for uncovering decision making strategies. Paper presented at the Eighth SESAR Innovation Days, 3-7 Dec 2018, Salzburg, Austria.

Abstract

In air traffic management and control, movement data describing actual and planned flights are used for planning, monitoring and post-operation analysis purposes with the goal of increased efficient utilization of air space capacities (in terms of delay reduction or flight efficiency), without compromising the safety of passengers and cargo, nor timeliness of flights. From flight data, it is possible to extract valuable information concerning preferences and decision making of airlines (e.g. route choice) and air traffic managers and controllers (e.g. flight rerouting or optimizing flight times), features whose understanding is intended as a key driver for bringing operational performance benefits. In this paper, we propose a suite of visual analytics techniques for supporting assessment of flight data quality and data analysis workflows centred on revealing decision making preferences.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © SESAR JU 2019.
Publisher Keywords: visual analytics, trajectory analysis, route choice
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
School of Mathematics, Computer Science & Engineering > Computer Science > Software Reliability
URI: https://openaccess.city.ac.uk/id/eprint/23796
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