[PDF][PDF] Probabilistic traffic models for occupancy counting

J Boucquey, F Gonze, A Hately, E Huens… - 7th SESAR Innovation …, 2017 - sesarju.eu
Air Traffic Management is subject to many uncertainties. These uncertainties drastically
reduce overall predictability and force the introduction of margins having a negative impact …

[PDF][PDF] Assessing the viability of an occupancy count prediction model

N Suarez, I Garcia-Ovies, D Zheng… - Proceedings of the 7th …, 2017 - researchgate.net
This paper describes the initial validation of the approach developed by COPTRA to improve
planning accuracy using an occupancy count prediction. It is based on the use of uncertainty …

Probabilistic En Route Sector Traffic Demand Prediction Based upon Statistical Analysis of Error Distribution Characteristics

W Tian, H Xu, Y Guo, B Hu… - Journal of Advanced …, 2018 - Wiley Online Library
In China, air traffic congestion has become increasingly prominent and tends to spread from
terminal areas to en route networks. Accurate and objective traffic demand prediction could …

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] An approach to en-route sector demand prediction subject to thunderstorms

A Valenzuela, A Franco, D Rivas… - Proceedings of the …, 2019 - researchgate.net
In this paper, a probabilistic approach to en-route sector demand prediction at tactical level
subject to thunderstorm activity is presented. The source of uncertainty is the location of the …