Maritime traffic monitoring based on vessel detection, tracking, state estimation, and trajectory prediction
Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …
Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN)
Air traffic density prediction is crucial to aviation safety and air traffic management (ATM).
Understanding the complex spatial–temporal varying traffic patterns and the inter …
Understanding the complex spatial–temporal varying traffic patterns and the inter …
A quasi-dynamic air traffic assignment model for mitigating air traffic complexity and congestion for high-density UAM operations
In spite of the significant effects of COVID-19, UAM operations are still expected to grow
smoothly and healthily in the near future. If such dense UAM traffic relies on tactical planning …
smoothly and healthily in the near future. If such dense UAM traffic relies on tactical planning …
How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity
F Pérez Moreno, VF Gómez Comendador… - Applied Sciences, 2024 - mdpi.com
Featured Application Application of main conclusions when developing a complexity
indicator for giving information about air traffic. Abstract Air traffic complexity is an indicator …
indicator for giving information about air traffic. Abstract Air traffic complexity is an indicator …
Optimal parameter inflation to enhance the availability of single-frequency GBAS for intelligent air transportation
Ground-based Augmentation System (GBAS) augments Global Navigation Satellite Systems
(GNSS) to support the precision approach and landing of aircraft. To guarantee integrity …
(GNSS) to support the precision approach and landing of aircraft. To guarantee integrity …
MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction
Airspace complexity is defined as an essential indicator to comprehensively measure the
safety of air traffic operational situations. A reliable prediction of airspace complexity can …
safety of air traffic operational situations. A reliable prediction of airspace complexity can …
[HTML][HTML] Conflict assessment and resolution of climate-optimal aircraft trajectories at network scale
Aviation contributes to anthropogenic climate change through carbon dioxide (CO 2) and
non-CO 2 emissions. Due to dependency on atmospheric conditions, the non-CO 2 climate …
non-CO 2 emissions. Due to dependency on atmospheric conditions, the non-CO 2 climate …
Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators
Predicting separation errors in the daily tasks of air traffic controllers (ATCOs) is essential for
the timely implementation of mitigation strategies before performance declines and the …
the timely implementation of mitigation strategies before performance declines and the …
Multi-stage and multi-topology analysis of ship traffic complexity for probabilistic collision detection
Maritime traffic situational awareness plays a vital role in the development of intelligent
transportation-support systems. The state-of-the-art study focuses on near-miss collision risk …
transportation-support systems. The state-of-the-art study focuses on near-miss collision risk …
Aircraft re-routing optimization and performance assessment under uncertainty
X Zhang, S Mahadevan - Decision Support Systems, 2017 - Elsevier
The need for aircraft re-routing arises when there is disruption in the system, such as when
an airport is closed due to extreme weather. In this paper, we investigate a simulation-based …
an airport is closed due to extreme weather. In this paper, we investigate a simulation-based …