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 …

Learning probabilistic trajectory models of aircraft in terminal airspace from position data

ST Barratt, MJ Kochenderfer… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Models for predicting aircraft motion are an important component of modern aeronautical
systems. These models help aircraft plan collision avoidance maneuvers and help conduct …

Flight trajectory data analytics for characterization of air traffic flows: A comparative analysis of terminal area operations between New York, Hong Kong and Sao Paulo

MCR Murça, RJ Hansman, L Li, P Ren - Transportation Research Part C …, 2018 - Elsevier
Abstract Future Air Traffic Management systems can benefit from innovative approaches that
leverage the increasing availability of operational data to facilitate the development of new …

Identification and prediction of urban airspace availability for emerging air mobility operations

MCR Murça - Transportation Research Part C: Emerging …, 2021 - Elsevier
Abstract Emerging Urban Air Mobility (UAM) operations are expected to introduce novel air
traffic networks in metropolitan areas in order to provide on-demand air transportation …

Study on evolution characteristics of air traffic situation complexity based on complex network theory

H Wang, Z Song, R Wen, Y Zhao - Aerospace science and technology, 2016 - Elsevier
This study proposed a new method to describe air traffic situations based on the theory of
complex networks and elaborate its evolutionary laws, expecting to reveal the basic …

From free-route air traffic to an adapted dynamic main-flow system

I Gerdes, A Temme, M Schultz - Transportation Research Part C: Emerging …, 2020 - Elsevier
At present, en-route flight traffic is carried out on a system of predefined routes with a low
number of intersections between aircraft trajectories. This enables the air traffic controllers to …

Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources

MZ Li, MS Ryerson - Journal of Air Transport Management, 2019 - Elsevier
The field of aviation research is entering the era of big data. While data-driven
advancements in aviation have clearly brought about applicable models and results with …

Discussion on density-based clustering methods applied for automated identification of airspace flows

CEV Gallego, VFG Comendador… - 2018 IEEE/AIAA 37th …, 2018 - ieeexplore.ieee.org
Air Traffic Management systems generate a huge amount of track data daily. Flight
trajectories can be clustered to extract main air traffic flows by means of unsupervised …

Characterizing the Brazilian airspace structure and air traffic performance via trajectory data analytics

MCR Murça, MX Guterres, MW de Oliveira… - Journal of Air Transport …, 2020 - Elsevier
This paper presents a data-driven approach for multi-scale characterization of the Brazilian
airspace structure and air traffic operational performance from aircraft tracking data recorded …

Conflict-free trajectory planning based on a data-driven conflict-resolution model

E Calvo-Fernández, L Perez-Sanz… - Journal of Guidance …, 2017 - arc.aiaa.org
In a trajectory-based operations' environment, at some time during the planning phase,
shared business trajectories will become reference business trajectories, and not …