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 …

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 …

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 …

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 …

With the burgeoning expansion of air transportation, the imbalance between airspace
capacity and demand is significantly prominent around the world. Air traffic flow …

Reinforcement Learning (RL) techniques are being studied to solve the Demand and
Capacity Balancing (DCB) problems to fully exploit their computational performance. A …

Reinforcement learning (RL) techniques have been studied for solving the demand and
capacity balancing (DCB) problem in air traffic management to exploit their full …

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 …

Abstract The concept of User Driven Prioritisation Process (UDPP) was introduced to give
Airspace Users (AUs) more flexibility under demand-capacity imbalance. This paper …

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 …