A Machine Learning Framework to Predict General Aviation Traffic Counts A Case Study for Nice Cote D'Azur Terminal Control Center

A Abecassis, D Delahaye, M Idan - SESAR Innovation Days, 2022 - enac.hal.science
General Aviation traffic prediction is a major concern for Air Navigation Service Providers as
it has a direct impact on air traffic flow and capacity management measures. However, today …

Air traffic flow management under uncertainty in terminal maneuvering area

Y Huo, D Delahaye, M Sbihi… - ICRAT 2020, 9th …, 2020 - enac.hal.science
In the air traffic control system, the Terminal Maneuvering Area (TMA) is one of the most
complex area in which the flight operations are easily influenced by the inevitable …

Probabilistic occupancy counts and flight criticality measures in air traffic management

F Gonze, E Huens, RM Jungers, A Simonetto… - Journal of Air …, 2018 - arc.aiaa.org
Airspace congestion is a major challenge for future European air traffic management. When
air traffic control believes that a sector will exceed its maximal capacity, a regulation is …

[PDF][PDF] Subset Properties and Synchronization of Finite State Automata

F Gonze - 2019 - dial.uclouvain.be
Cet ouvrage présente, en anglais, les résultats des recherches que j'ai menées durant les
cinq dernieres années dans le cadre de ma these. Il vous plongera dans le monde fascinant …

A method of ATFCM based on trajectory based operations.

D Gatsinzi - 2018 - dspace.lib.cranfield.ac.uk
This thesis describes a method towards a more proactive approach for Air Traffic Flow and
Capacity Management (ATFCM) Demand and Capacity Balancing (DCB). This new ATFCM …