Autonomous navigation for eVTOL: Review and future perspectives
H Wei, B Lou, Z Zhang, B Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
Towards efficient airline disruption recovery with reinforcement learning
Disruptions to airline schedules precipitate flight delays/cancellations and significant losses
for airline operations. The goal of the integrated airline recovery problem is to develop an …
for airline operations. The goal of the integrated airline recovery problem is to develop an …
[HTML][HTML] Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning
Unmanned aerial vehicles (UAVs) have gained much attention from academic and industrial
areas due to the significant number of potential applications in urban airspace. A traffic …
areas due to the significant number of potential applications in urban airspace. A traffic …
Deep reinforcement learning in service of air traffic controllers to resolve tactical conflicts
G Papadopoulos, A Bastas, GA Vouros, I Crook… - Expert Systems with …, 2024 - Elsevier
Dense and complex air traffic requires higher levels of automation than those exhibited by
tactical conflict detection and resolution (CD&R) tools that air traffic controllers (ATCOs) use …
tactical conflict detection and resolution (CD&R) tools that air traffic controllers (ATCOs) use …
Comparison of performance between PMS and trombone arrival route topologies in terminal maneuvering area
The contradiction between air traffic capacity and demand exerts congestion and delay,
resulting in airspace operating at or above its capacity. This paper proposes a performance …
resulting in airspace operating at or above its capacity. This paper proposes a performance …
A reinforcement learning approach for multi-fleet aircraft recovery under airline disruption
J Lee, K Lee, I Moon - Applied Soft Computing, 2022 - Elsevier
An airline scheduler plans flight schedules with efficient resource utilization. However,
unpredictable airline disruptions, such as temporary closures of an airports, cause schedule …
unpredictable airline disruptions, such as temporary closures of an airports, cause schedule …
Real-time 4D trajectory planning method for civil aircraft with high security in congested, stochastic, and dynamic airspace environment
J Zhou, H Zhang, Q Xue, Y Li - Expert Systems with Applications, 2025 - Elsevier
Abstract Four-dimensional (4-D) trajectory planning with conflict-free for a large-scale
number of aircraft under meteorological influence is an essential problem in air traffic control …
number of aircraft under meteorological influence is an essential problem in air traffic control …
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') …
[HTML][HTML] Locally generalised multi-agent reinforcement learning for demand and capacity balancing with customised neural networks
Reinforcement Learning (RL) techniques are being studied to solve the Demand and
Capacity Balancing (DCB) problems to fully exploit their computational performance. A …
Capacity Balancing (DCB) problems to fully exploit their computational performance. A …
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 …