[HTML][HTML] Flight data clustering for offline evaluation of real-time trajectory optimization framework
Abstract Real-time Trajectory Optimization (RTOP) is a machine learning-based flight path
optimization framework that automatically performs in-flight re-planning continuously with …
optimization framework that automatically performs in-flight re-planning continuously with …
Air traffic flow pattern recognition and analysis in terminal area based on the geodesic distance
Z Zhang, Z Wang, Z Cui - Mobile Networks and Applications, 2022 - Springer
An accurate recognition method of the air traffic flow pattern is proposed based on historical
flight trajectory data to understand the spatial distribution of air traffic flow and improve the …
flight trajectory data to understand the spatial distribution of air traffic flow and improve the …
A Novel Semantic Representation of Airport Surface Trajectory for Taxiing Pattern Recognition
Many operational modeling and analysis tasks in airport surface operations rely on accurate
representation of aircraft taxiing paths, which can be expensive to generate. Clustering …
representation of aircraft taxiing paths, which can be expensive to generate. Clustering …
Filtering of Aircraft Surface Trajectories
M Bloem, A Churchill - AIAA AVIATION 2020 FORUM, 2020 - arc.aiaa.org
Measurements of the state of aircraft on the airport surface provided by the Airport Surface
Detection Equipment, Model-X system have long been known to be too noisy for many …
Detection Equipment, Model-X system have long been known to be too noisy for many …
Aircraft Trajectories Classification using Clustering Techniques
JL González Montes - 2022 - idus.us.es
In this work a solution to the identification of air traffic flows is presented. For that purpose,
realworld data is employed, collected from Eurocontrol's R&D Data Archive. We focus our …
realworld data is employed, collected from Eurocontrol's R&D Data Archive. We focus our …