A survey on reinforcement learning in aviation applications
Reinforcement learning (RL) has emerged as a powerful tool for addressing complex
decision making problems in various domains, including aviation. This paper provides a …
decision making problems in various domains, including aviation. This paper provides a …
Requirements for explainability and acceptance of artificial intelligence in collaborative work
S Theis, S Jentzsch, F Deligiannaki, C Berro… - … Conference on Human …, 2023 - Springer
The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-
traffic control leads to systems that are practical and efficient, and to some extent explainable …
traffic control leads to systems that are practical and efficient, and to some extent explainable …
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 …
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 …
Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties
With the continuous growth in the air transportation demand, air traffic controllers will have to
handle increased traffic and consequently, more potential conflicts. This gives rise to the …
handle increased traffic and consequently, more potential conflicts. This gives rise to the …
Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review
This research aims to comprehensively analyze the most essential uses of artificial
intelligence in Aerospace Engineering. We obtained papers initially published in academic …
intelligence in Aerospace Engineering. We obtained papers initially published in academic …
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 …
[PDF][PDF] Personalized and transparent ai support for atc conflict detection and resolution: an empirical study
Artificial Intelligence provides both opportunities and considerable challenges to the
continued growth of Air Traffic Control (ATC) services. This paper presents a study where a …
continued growth of Air Traffic Control (ATC) services. This paper presents a study where a …
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') …
A deep multi-agent reinforcement learning approach to autonomous separation assurance
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 …