A data analytics framework for anomaly detection in flight operations
LC e Silva, MCR Murça - Journal of Air Transport Management, 2023 - Elsevier
In the air transport system, there has been a continuous effort to develop policies, tools, and
methodologies that increase and standardize safety levels across the entire commercial …
methodologies that increase and standardize safety levels across the entire commercial …
A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data
As air traffic demand grows, robust, data-driven methods are required to ensure that aviation
systems become safer and more efficient. The terminal airspace is identified as the most …
systems become safer and more efficient. The terminal airspace is identified as the most …
Characterizing the Brazilian airspace structure and air traffic performance via trajectory data analytics
MCR Murça, MX Guterres, MW de Oliveira… - Journal of Air Transport …, 2020 - Elsevier
This paper presents a data-driven approach for multi-scale characterization of the Brazilian
airspace structure and air traffic operational performance from aircraft tracking data recorded …
airspace structure and air traffic operational performance from aircraft tracking data recorded …
Modeling and characterization of traffic flow patterns and identification of airspace density for UTM application
AA Alharbi, I Petrunin, D Panagiotakopoulos - IEEE Access, 2022 - ieeexplore.ieee.org
Current airspace has limited resources, and the widespread use of unmanned aerial
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …
Application of isolation forest for detection of energy anomalies in ADS-B trajectory data
View Video Presentation: https://doi. org/10.2514/6.2022-2441. vid In recent years, the
aviation industry has seen a large increase in the volume of operations. The maintenance …
aviation industry has seen a large increase in the volume of operations. The maintenance …
An end-to-end framework for flight trajectory data analysis based on deep autoencoder network
W Zhang, M Hu, J Du - Aerospace Science and Technology, 2022 - Elsevier
In order to jointly solve the tasks of abnormal trajectory detection and flow pattern
recognition for flight trajectory data analysis, an end-to-end framework based on deep …
recognition for flight trajectory data analysis, an end-to-end framework based on deep …
[PDF][PDF] A Data-Driven Methodology to Analyze Air Traffic Management System Operations within the Terminal Airspace
SJ Corrado - Georgia Institute of Technology: Atlanta, GA, USA, 2021 - core.ac.uk
As my journey through graduate school concludes, I would like to acknowledge those who
made the journey such a great experience. First, I would like to express my deep gratitude to …
made the journey such a great experience. First, I would like to express my deep gratitude to …
A unified, clustering-based framework for detection of spatial and energy anomalies in trajectories utilizing ADS-B data
As air traffic demand grows, robust, data-driven anomaly detection methods are required to
ensure that aviation systems become safer and more efficient. The terminal airspace is …
ensure that aviation systems become safer and more efficient. The terminal airspace is …
Machine learning models for online anomaly detection in flight operations
L Coelho e Silva, MC Murça - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4107. vid Anomaly detection in
flight operations data is a prominent approach to delivering actionable information for …
flight operations data is a prominent approach to delivering actionable information for …
Visualizing Corridors in Terminal Airspace using Trajectory Clustering
Context: Advances in battery and automation technology have made routine air taxi and
cargo transport in urban areas a business model that can be attained by emerging aviation …
cargo transport in urban areas a business model that can be attained by emerging aviation …