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Operational Research: methods and applications
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 …
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 …
capacity and demand is significantly prominent around the world. Air traffic flow …
Cooperative co-evolution for large-scale multi-objective air traffic flow management
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 …
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
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 …
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
Trajectory-based operations offer a promising solution for effective urban air mobility (UAM)
traffic management with conflict-free four-dimensional trajectories. However, these …
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
Most of the busiest airports worldwide experience serious congestion and delay problems
which call for some immediate capacity and demand management action. Solutions aiming …
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
The continuous increase of air transport demand worldwide and the push for a more
economically viable and environmentally sustainable aviation are driving significant …
economically viable and environmentally sustainable aviation are driving significant …
A knee-guided evolutionary algorithm for multi-objective air traffic flow management
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 …
studies assume the flight speed as constant throughout the trip, leading to ineffective fixed …
Dynamic disruption management in airline networks under airport operating uncertainty
Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and
ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive 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
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 …
holding time in the Terminal Maneuver Airspace (TMA) by managing the arrival aircraft …