Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies

HL Ma, Y Sun, SH Chung, HK Chan - Transportation Research Part E …, 2022 - Elsevier
Aircraft maintenance routing (AMR) is crucial for both passenger airlines and cargo airlines
to maintain flight operations efficiency, meanwhile it ensures that aircraft fulfill the civil …

Optimal parameter inflation to enhance the availability of single-frequency GBAS for intelligent air transportation

H Lee, S Pullen, J Lee, B Park… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Ground-based Augmentation System (GBAS) augments Global Navigation Satellite Systems
(GNSS) to support the precision approach and landing of aircraft. To guarantee integrity …

[HTML][HTML] An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

P Scala, MM Mota, CL Wu, D Delahaye - Transportation Research Part C …, 2021 - Elsevier
This paper presents an innovative approach that combines optimization and simulation
techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim …

Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability

I Laña, I Olabarrieta, J Del Ser - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The estimation of the amount of uncertainty featured by predictive machine learning models
has acquired a great momentum in recent years. Uncertainty estimation provides the user …

A probabilistic model based optimization for aircraft scheduling in terminal area under uncertainty

Y Huo, D Delahaye, M Sbihi - Transportation Research Part C: Emerging …, 2021 - Elsevier
Air traffic management relies strongly on the accuracy of prediction, while uncertainties such
as weather, navigation accuracy, pilot operations, etc. may weaken the performance of …

[HTML][HTML] Fast 4D flight planning under uncertainty through parallel stochastic path simulation

D González-Arribas, F Baneshi, E Andrés… - … Research Part C …, 2023 - Elsevier
Abstract The Air Traffic Management system is evolving to deal with efficiency, capacity,
safety and environmental challenges. Progress along these fronts requires the development …

A two-stage approach to aircraft recovery under uncertainty

A Zhao, JF Bard, JE Bickel - Journal of Air Transport Management, 2023 - Elsevier
The paper presents a two-stage approach for minimizing the impact of daily disruptions on
an airline's published flight schedule. The problem is characterized by uncertainty in the …

Airspace operation effectiveness evaluation based on q-rung Orthopair probabilistic hesitant fuzzy GRA and TOPSIS

Z Chen, D Shen, Y Ren, F Yu, X Yuan - Symmetry, 2022 - mdpi.com
In order to improve the ability of airspace management, a multi-attribute decision-making
tool based on q-rung orthopair probability hesitant fuzzy GRA-TOPSIS is proposed to solve …

Airport Ground Optimizer (AGO): A decision support system initiative for air traffic controllers with optimization and decision-aid algorithms

K Dönmez - Journal of Air Transport Management, 2024 - Elsevier
The growing global air traffic has necessitated more efficient ground management in
airports, especially during peak hours. Current approaches mainly consist of radar-based …

Intrinsic explainable self-enforcing networks using the ICON-D2-ensemble prediction system for runway configurations

D Zinkhan, A Greisbach, B Zurmaar, C Klüver… - Engineering …, 2023 - mdpi.com
Weather forecasts are indispensable for the decision on the direction of operation of a
runway system. Since the forecasts contain uncertainties, additional challenges arise for …