[HTML][HTML] Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty

R Shone, K Glazebrook, KG Zografos - European Journal of Operational …, 2021 - Elsevier
In this paper we provide a wide-ranging review of the literature on stochastic modeling
applications within aviation, with a particular focus on problems involving demand and …

Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context

A Gardi, R Sabatini, S Ramasamy - Progress in Aerospace Sciences, 2016 - Elsevier
The continuous increase of air transport demand worldwide and the push for a more
economically viable and environmentally sustainable aviation are driving significant …

A quasi-dynamic air traffic assignment model for mitigating air traffic complexity and congestion for high-density UAM operations

Z Wang, D Delahaye, JL Farges, S Alam - Transportation Research Part C …, 2023 - Elsevier
In spite of the significant effects of COVID-19, UAM operations are still expected to grow
smoothly and healthily in the near future. If such dense UAM traffic relies on tactical planning …

[HTML][HTML] Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs

KG Zografos, MA Madas, KN Androutsopoulos - Journal of Scheduling, 2017 - Springer
Most of the busiest airports worldwide experience serious congestion and delay problems
which call for some immediate capacity and demand management action. Solutions aiming …

Fair optimization and networks: A survey

W Ogryczak, H Luss, M Pióro, D Nace… - Journal of Applied …, 2014 - Wiley Online Library
Optimization models related to designing and operating complex systems are mainly
focused on some efficiency metrics such as response time, queue length, throughput, and …

Day-ahead aircraft routing with data-driven primary delay predictions

S Birolini, A Jacquillat - European Journal of Operational Research, 2023 - Elsevier
Flight delays are major sources of disruptions in airline operations. To mitigate them, day-
ahead aircraft routing aims to create flight sequences that can absorb delays and minimize …

Scheduling models for optimal aircraft traffic control at busy airports: tardiness, priorities, equity and violations considerations

M Sama, A D'Ariano, P D'Ariano, D Pacciarelli - Omega, 2017 - Elsevier
This work addresses the real-time optimization of take-off and landing operations at a busy
terminal control area in case of traffic congestion. Terminal areas are becoming the …

A roadmap toward airport demand and capacity management

A Jacquillat, AR Odoni - Transportation Research Part A: Policy and …, 2018 - Elsevier
This paper synthesizes the major interventions available to manage airport demand and
capacity, the analytical tools that may support the underlying policy, managerial and …

Towards a greener Extended-Arrival Manager in air traffic control: A heuristic approach for dynamic speed control using machine-learned delay prediction model

LZ Jun, S Alam, I Dhief, M Schultz - Journal of Air Transport Management, 2022 - Elsevier
Abstract Extended Arrivals Manager (E-AMAN) is a concept that reduces congestion and
holding time in the Terminal Maneuver Airspace (TMA) by managing the arrival aircraft …

Optimization of tree ensembles

VV Mišić - Operations Research, 2020 - pubsonline.informs.org
Tree ensemble models such as random forests and boosted trees are among the most
widely used and practically successful predictive models in applied machine learning and …