Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Trajectory prediction is an essential component of the next generation national air
transportation system. Reliable trajectory prediction models need to consider uncertainties …
transportation system. Reliable trajectory prediction models need to consider uncertainties …
Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction
Abstract Multi-Agent Trajectory Prediction is a critical and challenging component across
different safety–critical engineering applications, eg, autonomous driving and flight systems …
different safety–critical engineering applications, eg, autonomous driving and flight systems …
Analysis of air traffic control operational impact on aircraft vertical profiles supported by machine learning
CEV Gallego, VFG Comendador, FJS Nieto… - … research part C …, 2018 - Elsevier
Abstract The Air Traffic Management system is under a paradigm shift led by NextGen and
SESAR. The new trajectory-based Concept of Operations is supported by performance …
SESAR. The new trajectory-based Concept of Operations is supported by performance …
航空器轨迹预测技术研究综述.
徐正凤， 曾维理， 羊钊 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
航空器轨迹预测是流量管理, 冲突检测和解脱, 航空器进场排序以及异常行为监测等空中交通
管理技术的基础. 关于航空器轨迹预测的研究产生了许多经典的方法和应用领域 …
管理技术的基础. 关于航空器轨迹预测的研究产生了许多经典的方法和应用领域 …
Comparison of performance between PMS and trombone arrival route topologies in terminal maneuvering area
The contradiction between air traffic capacity and demand exerts congestion and delay,
resulting in airspace operating at or above its capacity. This paper proposes a performance …
resulting in airspace operating at or above its capacity. This paper proposes a performance …
A machine learning approach to air traffic interdependency modelling and its application to trajectory prediction
CEV Gallego, VFG Comendador, MAA Carmona… - … Research Part C …, 2019 - Elsevier
Abstract Air Traffic Management is evolving towards a Trajectory-Based Operations
paradigm. Trajectory prediction will hold a key role supporting its deployment, but it is limited …
paradigm. Trajectory prediction will hold a key role supporting its deployment, but it is limited …
The impact of alerting designs on air traffic controller's eye movement patterns and situation awareness
P Kearney, WC Li, CS Yu, G Braithwaite - Ergonomics, 2019 - Taylor & Francis
This research investigated controller'situation awareness by comparing COOPANS's
acoustic alerts with newly designed semantic alerts. The results demonstrate that ATCOs' …
acoustic alerts with newly designed semantic alerts. The results demonstrate that ATCOs' …
Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace
Due to the variety of flight patterns in airport terminal airspace, as well as the high global
similarity of different flight patterns entering and leaving from the same runway or corridor, it …
similarity of different flight patterns entering and leaving from the same runway or corridor, it …
LSTM-based deep learning model for civil aircraft position and attitude prediction approach
K Yang, M Bi, Y Liu, Y Zhang - 2019 Chinese control …, 2019 - ieeexplore.ieee.org
With the rapid development of civil aviation, the contradiction between limited airspace
resources and increasing traffic flow is intensifying, which raises the development request of …
resources and increasing traffic flow is intensifying, which raises the development request of …
The impact of alerting design on air traffic controllers' response to conflict detection and resolution
P Kearney, WC Li, JJH Lin - International journal of industrial ergonomics, 2016 - Elsevier
Purpose s: The research aim is to develop a better design of auditory alerts that can improve
air traffic controllers' situation awareness. Method Participants are seventy-seven qualified …
air traffic controllers' situation awareness. Method Participants are seventy-seven qualified …