An evolutionary outlook of air traffic flow management techniques
Abstract In recent years Air Traffic Flow Management (ATFM) has become pertinent even in
regions without sustained overload conditions caused by dense traffic operations …
regions without sustained overload conditions caused by dense traffic operations …
Improving airport arrival flow prediction considering heterogeneous and dynamic network dependencies
Predicting airport arrival flow serves as a crucial technique in air traffic flow management.
Given the unique operational characteristics of air traffic systems, airport arrival flow …
Given the unique operational characteristics of air traffic systems, airport arrival flow …
Distributed agent-based air traffic flow management
K Tumer, A Agogino - Proceedings of the 6th international joint …, 2007 - dl.acm.org
Air traffic flow management is one of the fundamental challenges facing the Federal Aviation
Administration (FAA) today. The FAA estimates that in 2005 alone, there were over 322,000 …
Administration (FAA) today. The FAA estimates that in 2005 alone, there were over 322,000 …
Control and optimization algorithms for air transportation systems
H Balakrishnan - Annual Reviews in Control, 2016 - Elsevier
Modern air transportation systems are complex cyber-physical networks that are critical to
global travel and commerce. As the demand for air transport has grown, so have congestion …
global travel and commerce. As the demand for air transport has grown, so have congestion …
A multi-view attention-based spatial–temporal network for airport arrival flow prediction
Accurate airport arrival flow prediction is a precondition for intelligent air traffic flow
management. However, most existing studies focus on the dynamic traffic flow in a single …
management. However, most existing studies focus on the dynamic traffic flow in a single …
A multiagent approach to managing air traffic flow
AK Agogino, K Tumer - Autonomous Agents and Multi-Agent Systems, 2012 - Springer
Intelligent air traffic flow management is one of the fundamental challenges facing the
Federal Aviation Administration (FAA) today. FAA estimates put weather, routing decisions …
Federal Aviation Administration (FAA) today. FAA estimates put weather, routing decisions …
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 …
A deep learning approach for short-term airport traffic flow prediction
Z Yan, H Yang, F Li, Y Lin - Aerospace, 2021 - mdpi.com
Airport traffic flow prediction is a fundamental research topic in the field of air traffic flow
management. Most existing works focus on the single airport traffic flow prediction with …
management. Most existing works focus on the single airport traffic flow prediction with …
Describing airspace complexity: Airspace response to disturbances
THE air traffic management (ATM) system provides services for safe and efficient aircraft
operations to transport people and goods [1, 2]. The airspace in the United States is divided …
operations to transport people and goods [1, 2]. The airspace in the United States is divided …
Multicommodity Eulerian-Lagrangian large-capacity cell transmission model for en route traffic
A new paradigm for building an Eulerian–Lagrangian cell transmission model for air traffic
flow is developed. It is based on an aggregation of track data and is applied to the full …
flow is developed. It is based on an aggregation of track data and is applied to the full …