Operational Research: methods and applications

F Petropoulos, G Laporte, E Aktas… - Journal of the …, 2024 - Taylor & Francis
Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

Recent progress in air traffic flow management: A review

Y Chen, Y Zhao, Y Wu - Journal of Air Transport Management, 2024 - Elsevier
With the burgeoning expansion of air transportation, the imbalance between airspace
capacity and demand is significantly prominent around the world. Air traffic flow …

Cooperative co-evolution for large-scale multi-objective air traffic flow management

T Guo, Y Mei, K Tang, W Du - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Air traffic flow management (ATFM) is the key driver of efficient aviation. It aims at balancing
traffic demand against airspace capacity by scheduling aircraft, which is critical for air …

[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 …

Chance-constrained UAM traffic flow optimization with fast disruption recovery under uncertain waypoint occupancy time

B Pang, KH Low, VN Duong - Transportation Research Part C: Emerging …, 2024 - Elsevier
Trajectory-based operations offer a promising solution for effective urban air mobility (UAM)
traffic management with conflict-free four-dimensional trajectories. However, these …

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 …

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 knee-guided evolutionary algorithm for multi-objective air traffic flow management

T Guo, Y Mei, K Tang, W Du - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Air traffic flow management (ATFM) plays a crucial role in efficient aviation. Most existing
studies assume the flight speed as constant throughout the trip, leading to ineffective fixed …

Dynamic disruption management in airline networks under airport operating uncertainty

J Lee, L Marla, A Jacquillat - Transportation Science, 2020 - pubsonline.informs.org
Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and
ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive 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 …