Flight planning quality assessment with predictive analysis using data clustering and reference trajectories
More Info
expand_more
expand_more
Abstract
Flight planning is a process of optimisation that is commonly solved by complex software tools. Quantifying the quality of such a system is for the users an unsolved problem. This paper proposes a method that measures the inefficiencies in different domains to gain insights in the performance of flight planning tools. The established assessment framework includes relating actual operated performance to the flight plan instructions. Additionally, the framework is used to detect and predict possibly abnormal flight plans before they are operated.
Files
Thesis_KBEU_final.pdf
(.pdf | 3.84 Mb)