A reinforcement learning approach for multi-fleet aircraft recovery under airline disruption

J Lee, K Lee, I Moon - Applied Soft Computing, 2022 - Elsevier
An airline scheduler plans flight schedules with efficient resource utilization. However,
unpredictable airline disruptions, such as temporary closures of an airports, cause schedule …

An explainable artificial intelligence (xAI) framework for improving trust in automated ATM tools

CS Hernandez, S Ayo… - 2021 IEEE/AIAA 40th …, 2021 - ieeexplore.ieee.org
With the increased use of intelligent Decision Support Tools in Air Traffic Management
(ATM) and inclusion of non-traditional entities, regulators and end users need assurance …

Airline delay propagation: Estimation and modeling in daily operations

F Erdem, T Bilgiç - Journal of Air Transport Management, 2024 - Elsevier
Airline companies try to increase their revenues, service level, and customer satisfaction in a
highly competitive global sector. Airline schedule planning is crucial for airline companies to …

Large-Scale Airline Recovery using Mixed-Integer Optimization and Supervised Learning

AE Hizir - 2024 - dspace.mit.edu
Airlines plan their aircraft and crew schedules using operations research methods. However,
these schedules are often disrupted due to the irregular nature of flight operations. Airline …

[PDF][PDF] To hold or not to hold?-Reducing passenger missed connections in airlines using reinforcement learning

T Malladi, K Murugappan, D Sudarsanam… - Proceedings of the …, 2021 - ifmas.csc.liv.ac.uk
Missed connections at transit airports are a source of both poor customer experience and
reduced airline operational efficiency. Airlines typically handle missed connections by …

Intelligent Dynamic Replanning for Reduced Airport Operations

R Suriyanarayanan, K Murugappan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Transient delays due to resource constrained reduced operations at one airport can have a
significant network-wide impact in a complex airline network. Therefore, an airline needs to …

[PDF][PDF] A Slot Swapping Market for European Airlines: The case of the Win-Win Economy

H BARRAS - 2023 - sciencespo.fr
This paper designs an inter-carrier slot swapping market for airlines operating within the
ECAC area, offering them a decentralized, high-frequency, flexible, and last-resort …

Proactive Planning For Slow Onset Weather Events To Adjust Hospital Operations

M Ghanbarpourmamaghani - 2021 - search.proquest.com
Climate change causes an increase in the frequency and intensity of some types of extreme
weather events, including hurricanes, extreme precipitation, tornados, snowstorms, and …

An explainable artificial intelligence (xAI) framework for improving trust in automated ATM tools

C Sanchez Hernandez, S Ayo, D Panagiotakopoulos - 2021 - dspace.lib.cranfield.ac.uk
With the increased use of intelligent Decision Support Tools in Air Traffic Management
(ATM) and inclusion of non-traditional entities, regulators and end users need assurance …

[PDF][PDF] Multimodal air-rail simulation model for evaluation of tactical disruptions

M Weiszer, L Delgado, G Gurtner - westminsterresearch.westminster.ac …
Efficient cooperation between transport stakeholders (airlines, rail and airport operators) is
essential for improved multimodal journey times and passenger experience during …