Strategies towards a more sustainable aviation: A systematic review
F Afonso, M Sohst, CMA Diogo, SS Rodrigues… - Progress in Aerospace …, 2023 - Elsevier
As climate change is exacerbated and existing resources are depleted, the need for
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …
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 …
Temporal attention aware dual-graph convolution network for air traffic flow prediction
Air traffic flow prediction is vital for its supporting function for collaborative decision making in
Air Traffic Management. However, due to the inherent spatial and temporal dependencies of …
Air Traffic Management. However, due to the inherent spatial and temporal dependencies of …
Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management
T Kravaris, K Lentzos, G Santipantakis, GA Vouros… - Applied …, 2023 - Springer
With the objective to enhance human performance and maximize engagement during the
performance of tasks, we aim to advance automation for decision making in complex and …
performance of tasks, we aim to advance automation for decision making in complex and …
Recent progress in air traffic flow management: A review
Y Chen, Y Zhao, Y Wu - Journal of Air Transport Management, 2024 - Elsevier
With the burgeoning expansion of air transportation, the imbalance between airspace
capacity and demand is significantly prominent around the world. Air traffic flow …
capacity and demand is significantly prominent around the world. Air traffic flow …
[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 …
[HTML][HTML] General multi-agent reinforcement learning integrating heuristic-based delay priority strategy for demand and capacity balancing
Reinforcement learning (RL) techniques have been studied for solving the demand and
capacity balancing (DCB) problem in air traffic management to exploit their full …
capacity balancing (DCB) problem in air traffic management to exploit their full …
An Iterated Min–Max procedure for practical workload balancing on non-identical parallel machines in manufacturing systems
Q Christ, S Dauzère-Pérès, G Lepelletier - European Journal of Operational …, 2019 - Elsevier
This paper presents an original approach for a practical workload balancing problem on non-
identical parallel machines in manufacturing systems. After showing the limitations of an …
identical parallel machines in manufacturing systems. After showing the limitations of an …
Collaborative delay management towards demand-capacity balancing within User Driven Prioritisation Process
Q Zhang, M Le, Y Xu - Journal of air transport management, 2021 - Elsevier
Abstract The concept of User Driven Prioritisation Process (UDPP) was introduced to give
Airspace Users (AUs) more flexibility under demand-capacity imbalance. This paper …
Airspace Users (AUs) more flexibility under demand-capacity imbalance. This paper …
[PDF][PDF] 中国枢纽机场时间延误成本估算与航线影响分析及中美比较
杜欣儒, 路紫, 李仁杰, 董雅晴, 高伟 - 地理科学进展, 2020 - researching.cn
论文借鉴欧洲控制研究中心以机型为基本单元的延误成本估算模型(简称EC 估算模型)
及其相关算法, 以EC 估算模型为基础, 补充机型配置比和引入航班执行阶段作为影响参数 …
及其相关算法, 以EC 估算模型为基础, 补充机型配置比和引入航班执行阶段作为影响参数 …