A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
The aircraft runway scheduling problem: A survey
The aircraft scheduling problem consists in sequencing aircraft on airport runways and in
scheduling their times of operations taking into consideration several operational …
scheduling their times of operations taking into consideration several operational …
[PDF][PDF] Overview of traffic management of urban air mobility (UAM) with eVTOL aircraft
The emergence and development of urban air mobility (UAM) were reviewed in this work,
and the concept of UAM traffic management was defined. The social and technical factors …
and the concept of UAM traffic management was defined. The social and technical factors …
Review of deep reinforcement learning approaches for conflict resolution in air traffic control
Z Wang, W Pan, H Li, X Wang, Q Zuo - Aerospace, 2022 - mdpi.com
Deep reinforcement learning (DRL) has been widely adopted recently for its ability to solve
decision-making problems that were previously out of reach due to a combination of …
decision-making problems that were previously out of reach due to a combination of …
Physics informed deep reinforcement learning for aircraft conflict resolution
P Zhao, Y Liu - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
A novel method for aircraft conflict resolution in air traffic management (ATM) using physics
informed deep reinforcement learning (RL) is proposed. The motivation is to integrate prior …
informed deep reinforcement learning (RL) is proposed. The motivation is to integrate prior …
Terminal area control rules and eVTOL adaptive scheduling model for multi-vertiport system in urban air Mobility
Q Shao, M Shao, Y Lu - Transportation Research Part C: Emerging …, 2021 - Elsevier
On the one hand, vertiports in economically developed areas will present the operation
mode of multi-vertiport, and the contradiction between the development of urban air mobility …
mode of multi-vertiport, and the contradiction between the development of urban air mobility …
Autonomous air traffic controller: A deep multi-agent reinforcement learning approach
M Brittain, P Wei - arXiv preprint arXiv:1905.01303, 2019 - arxiv.org
Air traffic control is a real-time safety-critical decision making process in highly dynamic and
stochastic environments. In today's aviation practice, a human air traffic controller monitors …
stochastic environments. In today's aviation practice, a human air traffic controller monitors …
Scalable autonomous separation assurance with heterogeneous multi-agent reinforcement learning
M Brittain, P Wei - IEEE Transactions on automation science …, 2022 - ieeexplore.ieee.org
In this article, a scalable autonomous separation assurance framework is proposed for high-
density en route airspace sectors with heterogeneous aircraft objectives. To handle the …
density en route airspace sectors with heterogeneous aircraft objectives. To handle the …
Autonomous separation assurance with deep multi-agent reinforcement learning
A novel deep multi-agent reinforcement learning framework is proposed to identify and
resolve conflicts among a variable number of aircraft in a high-density, stochastic, and …
resolve conflicts among a variable number of aircraft in a high-density, stochastic, and …
One to any: Distributed conflict resolution with deep multi-agent reinforcement learning and long short-term memory
MW Brittain, P Wei - AIAA Scitech 2021 Forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-1952. vid A novel deep multi-agent
reinforcement learning framework is proposed to identify and resolve conflicts between a …
reinforcement learning framework is proposed to identify and resolve conflicts between a …