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

Purpose This work aims to review past and present articles about data-driven quality
management (DDQM) in supply chains (SCs). The motive behind the review is to identify …

Accurate airport traffic flow estimation is crucial for the secure and orderly operation of the
aviation system. Recent advances in machine learning have achieved promising 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 …

In this paper, a slot allocation model for airport network in the presence of uncertainty is
proposed. The airport resource planning problem is modeled as a process from an …

This study analyzed the impact of a range of policies that restrict travel accessibility and
mobility on infection rates for the original strain of the virus during the first year of the COVID …

Accurate prediction of real-time airport capacity, aka airport acceptance rates (AARs), is key
to enabling efficient air traffic flow management. AARs are dependent on selected runway …

Accurate airport capacity estimation is crucial for the secure and orderly operation of the
aviation system. However, such estimation is a non-trivial task as capacity depends on …

为有效解决高流量终端区内标准飞行模式, 非标准飞行模式和异常飞行模式难以自动分离的问题
, 采用广泛记录的广播式自动相关监视(ADS-B) 数据, 构建了基于稳健深度自编码器(RDAE) …

Eco-driving control for connected and automated vehicles (CAVs) presents significant
energy-saving potential by enabling smooth, non-stop travel through signalized …