A safety-aware real-time air traffic flow management model under demand and capacity uncertainties

GGN Sandamali, R Su, KLK Sudheera… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Inherent uncertainties of the air transportation system (ATS) can induce unexpected
anomalies in its operations such as deviations in flight schedules, sudden imbalances of …

Multivariate probabilistic collocation method for effective uncertainty evaluation with application to air traffic flow management

Y Zhou, Y Wan, S Roy, C Taylor… - … on Systems, Man …, 2014 - ieeexplore.ieee.org
Modern large-scale infrastructure systems have typical complicated structure and dynamics,
and extensive simulations are required to evaluate their performance. The probabilistic …

Flight routing and scheduling under departure and en route speed uncertainty

GGN Sandamali, R Su, Y Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Demand uncertainty is one critical form of uncertainty which has an adverse effect on Air
traffic flow management (ATFM). This is mainly due to the deviation in departure time and …

Robustness of two air traffic scheduling approaches to departure uncertainty

A Agogino, J Rios - 2011 IEEE/AIAA 30th Digital Avionics …, 2011 - ieeexplore.ieee.org
Linear programming methods and non-linear, evolutionary algorithm-based optimization
techniques have been shown to be effective in managing large-scale air traffic flow …

Risk-hedged traffic flow management under airspace capacity uncertainties

P Sengupta, MD Tandale, PK Menon - Journal of Guidance, Control …, 2014 - arc.aiaa.org
This paper presents a novel solution to the problem of air traffic flow management under
airspace capacity uncertainty arising from weather or environmental effects. The traffic flow …

An evolutionary multi-objective approach for stochastic air traffic network flow optimization

M Xiao, K Cai, F Linke - 2015 IEEE 18th International …, 2015 - ieeexplore.ieee.org
The Stochastic Air Traffic Network Flow Optimization (SATNFO) problem aims to seek a set
of optimum and robust flight plans to ensure a safe, orderly and expeditious air traffic flow in …

Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local …

M Wahab - 2014 - etd.uum.edu.my
Electricity demand patterns have many variables related to uncertainty behaviour such as
gross domestic product, population, import and export. The characteristics of these variables …

Real-time flight scheduling for optimal air traffic flow management

NS Gammana Guruge - 2020 - dr.ntu.edu.sg
Inherent uncertainties of the air transportation system can induce unexpected anomalies in
its operations such as deviations in flight schedules, sudden imbalances of demands and …

[PDF][PDF] Robustness of Two Air Traffic Scheduling Approaches to Departure Uncertainty

U Adrian Agogino, J Rios - Citeseer
Linear programming methods and non-linear, evolutionary algorithm-based optimization
techniques have been shown to be effective in managing large-scale air traffic flow …

A Flight Delay Distribution Model for Traffic Flow Management

G Satapathy, J Nanda, Y Wu - … Conference and 19th AIAA Lighter-Than, 2011 - arc.aiaa.org
RAFFIC Flow Management (TFM) is a strategic route and delay management function that
ensures air traffic demand conforms to the airport and airspace capacities. Sector capacities …