Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges
EC Pinto Neto, DM Baum, JR Almeida Jr… - Aerospace, 2023 - mdpi.com
Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …
Trajectory clustering within the terminal airspace utilizing a weighted distance function
To support efforts to modernize aviation systems to be safer and more efficient, high-
precision trajectory prediction and robust anomaly detection methods are required. The …
precision trajectory prediction and robust anomaly detection methods are required. The …
Taxi Time Prediction by Using Data Driven Approach: A New Perspective
QY Jiao, N Li - Available at SSRN 4084964, 2022 - papers.ssrn.com
Taxi time, as one of the key indicators to evaluate the airport operation efficiency, will not
only have a direct impact on the takeoff and landing sequence of the runway, but also affect …
only have a direct impact on the takeoff and landing sequence of the runway, but also affect …
Characterizing Terminal Airspace Operational States and Detecting Airspace-Level Anomalies
Global modernization efforts focus on increasing aviation system capacity and efficiency,
while maintaining high levels of safety. To accomplish these objectives, new analysis …
while maintaining high levels of safety. To accomplish these objectives, new analysis …
[图书][B] Weather-Aware Aircraft Arrival Characterization at Terminal Maneuvering Area with Data-Driven Methodologies
GN Lui - 2022 - search.proquest.com
Air traffic management (ATM) attempts to assist aircraft's approach and landing
procedureswith a safety-first operation. It can be challenging to evaluate aviation economics …
procedureswith a safety-first operation. It can be challenging to evaluate aviation economics …