Artificial neural network models for airport capacity prediction
S Choi, YJ Kim - Journal of Air Transport Management, 2021 - Elsevier
This paper proposes artificial neural network models to predict the arrival/departure capacity
of airports. Multilayer perceptron (MLP), recurrent neural networks (RNN), and long short …
of airports. Multilayer perceptron (MLP), recurrent neural networks (RNN), and long short …
A spatial-temporal approach for multi-airport traffic flow prediction through causality graphs
Accurate airport traffic flow estimation is crucial for the secure and orderly operation of the
aviation system. Recent advances in machine learning have achieved promising prediction …
aviation system. Recent advances in machine learning have achieved promising prediction …
Airport capacity prediction with multisource features: A temporal deep learning approach
Accurate airport capacity estimation is crucial for the secure and orderly operation of the
aviation system. However, such estimation is a non-trivial task as capacity depends on …
aviation system. However, such estimation is a non-trivial task as capacity depends on …
A deep reinforcement learning approach for Runway Configuration Management: A case study for Philadelphia International Airport
Airports featuring multiple runways have the capability to operate in diverse runway
configurations, each with its unique setup. Presently, Air Traffic Controllers (ATCOs) heavily …
configurations, each with its unique setup. Presently, Air Traffic Controllers (ATCOs) heavily …
AI-based models for resource allocation and resource demand forecasting systems in aviation: A survey and analytical study
There is an increasing interest in developing Intelligent Decision Support Systems (IDSSs)
for various aviation operations such as resource planning. Recently, with the significant …
for various aviation operations such as resource planning. Recently, with the significant …
Research on Prediction Model of Flight Departure Runway
H Qisong, W Zixuan, Y Wen… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
The takeoff runway is an important part of the new generation flight plan making software.
The selection of flight takeoff runway is mainly affected by flight plan, weather, terminal area …
The selection of flight takeoff runway is mainly affected by flight plan, weather, terminal area …
Prediction of aircraft delay at busy airport considering weather information with machine learning techniques
K Lee, J Kang, ZM Paing, H Baik - 2023 IEEE/AIAA 42nd Digital …, 2023 - ieeexplore.ieee.org
In this study, we predict aircraft cancelations and delays applying numerical model forecast
weather data and contribute to improving the efficiency and safety of the aviation industry …
weather data and contribute to improving the efficiency and safety of the aviation industry …
Predicting taxi times, runway assignment, and deicing usage at Vienna airport
A Scheicher - 2023 - repositum.tuwien.at
The prediction of taxi-out times can enhance airport operations, potentially reducing delays,
fuel burn and carbon emissions. Factors such as runway assignment and deicing service …
fuel burn and carbon emissions. Factors such as runway assignment and deicing service …
Machine Learned Prediction of Runway Configuration Transition Times for Capacity Analysis
The runway system of an airport is a bottleneck resource, limiting the amount of traffic an
airport can service. The capacity of a runway system is affected by the runway configuration …
airport can service. The capacity of a runway system is affected by the runway configuration …