Towards conformal automation in air traffic control: Learning conflict resolution strategies through behavior cloning
A critical factor in achieving conformity of automation tools in performing expert tasks, such
as air traffic conflict resolution, is the identification of air traffic controllers'(ATCOs') …
as air traffic conflict resolution, is the identification of air traffic controllers'(ATCOs') …
Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning
M Ribeiro, J Ellerbroek, J Hoekstra - Aerospace, 2022 - mdpi.com
Future high traffic densities with drone operations are expected to exceed the number of
aircraft that current air traffic control procedures can control simultaneously. Despite …
aircraft that current air traffic control procedures can control simultaneously. Despite …
A framework for optimising flight efficiency of a crossing waypoint by balancing flight conflict frequency and flight-level usage benefits
D Sui, K Liu - The Aeronautical Journal, 2024 - cambridge.org
With the increase of air transportation, some crossing waypoints (CWPs) are becoming
bottlenecks in the operation of air traffic networks. This paper presents a CWP operation …
bottlenecks in the operation of air traffic networks. This paper presents a CWP operation …
Tactical conflict solver assisting air traffic controllers using deep reinforcement learning
D Sui, C Ma, C Wei - Aerospace, 2023 - mdpi.com
To assist air traffic controllers (ATCOs) in resolving tactical conflicts, this paper proposes a
conflict detection and resolution mechanism for handling continuous traffic flow by adopting …
conflict detection and resolution mechanism for handling continuous traffic flow by adopting …
Extraction of CD&R Work Phases from Eye-Tracking and Simulator Logs: A Topic Modelling Approach
A Nordman, L Meyer, KJ Klang, J Lundberg, K Vrotsou - Aerospace, 2023 - mdpi.com
Automation in Air Traffic Control (ATC) is gaining an increasing interest. Possible relevant
applications are in automated decision support tools leveraging the performance of the Air …
applications are in automated decision support tools leveraging the performance of the Air …
Deep Reinforcement Learning for Air Traffic Conflict Resolution Under Traffic Uncertainties
With a significant increase in air traffic over the years, the frequency of potential conflicts
between aircraft has increased, which in turn has proportionally increased the workload of …
between aircraft has increased, which in turn has proportionally increased the workload of …
A supervised learning approach for 4D air traffic conflict prediction under trajectory uncertainty
This paper presents a Supervised Learning approach for the problem of air traffic conflict
prediction in 4-dimensional space (3-dimensional space and time) under trajectory …
prediction in 4-dimensional space (3-dimensional space and time) under trajectory …
Predicting Deviation of Flight Entry into Air Sector using Machine Learning Techniques
C Klötergens, C Acevedo, I Firmansyah… - 2023 IEEE/AIAA …, 2023 - ieeexplore.ieee.org
The management of air traffic is a complex task that requires ensuring the safety and
efficiency of aircraft trajectories when transiting from one airspace sector into another. This …
efficiency of aircraft trajectories when transiting from one airspace sector into another. This …
Ai-based rotation aware detection of aircraft and identification of key features for collision avoidance systems (sae paper 2022-01-0036)
A Kwasniewska, O Chougule, S Kondur, S Alavuru… - 2022 - sae.org
Object detection using deep learning is a well-studied area and different neural network
architectures have been proposed for localization of objects at an eyelevel view. However …
architectures have been proposed for localization of objects at an eyelevel view. However …
Conflict Resolution at High Traffic Densities with Reinforcement Learning
MJ Ribeiro - 2023 - research.tudelft.nl
Increasing delays and congestion reported in many aviation sectors indicate that the current
centralised operational model is rapidly approaching saturation levels. Air Traffic Control …
centralised operational model is rapidly approaching saturation levels. Air Traffic Control …