SESep 8, 2014
On Demand Data Analysis and Filtering for Inaccurate Flight Trajectories
Massimiliano Zanin, David Perez, Kumardev Chatterjee, Dimitrios S. Kolovos, Richard F. Paige, Andreas Horst, Bernhard Rumpe
arXiv:1409.2304v120 citations
Originality Synthesis-oriented
AI Analysis
This addresses data quality issues in aviation traffic management, but appears incremental as it builds on existing project work without claiming breakthroughs.
The paper tackled the problem of identifying and filtering inaccurate flight trajectories (ghost flights) in historical data from the EUROCONTROL Demand Data Repository, as part of the COMPASS SESAR-JU WP-E project, but no specific results or numbers were reported in the abstract.
This paper reports on work performed in the context of the COMPASS SESAR-JU WP-E project, on developing an approach for identifying and filtering inaccurate trajectories (ghost flights) in historical data originating from the EUROCONTROL-operated Demand Data Repository (DDR).