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 …
A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions
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 …
management (DDQM) in supply chains (SCs). The motive behind the review is to identify …
A spatial-temporal approach for multi-airport traffic flow prediction through causality graphs
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 …
aviation system. Recent advances in machine learning have achieved promising prediction …
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 …
Research on slot allocation for airport network in the presence of uncertainty
W Liu, Q Zhao, D Delahaye - Journal of Air Transport Management, 2022 - Elsevier
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 …
proposed. The airport resource planning problem is modeled as a process from an …
A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates
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 …
mobility on infection rates for the original strain of the virus during the first year of the COVID …
Prediction of runway configurations and airport acceptance rates for multi-airport system using gridded weather forecast
Y Wang, Y Zhang - Transportation Research Part C: Emerging …, 2021 - Elsevier
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 …
to enabling efficient air traffic flow management. AARs are dependent on selected runway …
Airport capacity prediction with multisource features: A temporal deep learning approach
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 …
aviation system. However, such estimation is a non-trivial task as capacity depends on …
基于密度峰值的终端区航迹聚类与异常识别
刘继新, 董欣放, 徐晨, 杨光, 江灏 - 交通运输工程学报, 2021 - transport.chd.edu.cn
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) …
, 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 CAVs at signalized intersections: Adapting to traffic uncertainties
K Lu, Y Chen, Y Tong, J Zhang, Y Luo… - … Research Part D …, 2024 - Elsevier
Eco-driving control for connected and automated vehicles (CAVs) presents significant
energy-saving potential by enabling smooth, non-stop travel through signalized …
energy-saving potential by enabling smooth, non-stop travel through signalized …