On the relevance of data science for flight delay research: a systematic review
L Carvalho, A Sternberg, L Maia Goncalves… - Transport …, 2021 - Taylor & Francis
Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
Flight delay prediction for commercial air transport: A deep learning approach
This study analyzes high-dimensional data from Bei**g International Airport and presents a
practical flight delay prediction model. Following a multifactor approach, a novel deep belief …
practical flight delay prediction model. Following a multifactor approach, a novel deep belief …
Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges
EC Pinto Neto, DM Baum, JR Almeida Jr… - Aerospace, 2023 - mdpi.com
Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …
A CNN-LSTM framework for flight delay prediction
Q Li, X Guan, J Liu - Expert Systems with Applications, 2023 - Elsevier
Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …
systems due to its essential role in flight scheduling, airline planning, and airport operation …
4-D flight trajectory prediction with constrained LSTM network
Z Shi, M Xu, Q Pan - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
The increasing aviation activities pose a challenge to ensure a safe and orderly flight.
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …
Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions
M Lambelho, M Mitici, S Pickup, A Marsden - Journal of air transport …, 2020 - Elsevier
To mitigate air traffic demand-capacity imbalances, large European airports implement
strategic flight schedules, where flights are assigned arrival/departure slots several months …
strategic flight schedules, where flights are assigned arrival/departure slots several months …
A Multilayer Perceptron Neural Network with Selective‐Data Training for Flight Arrival Delay Prediction
Flight delay is the most common preoccupation of aviation stakeholders around the world.
Airlines, which suffer from a monetary and customer loyalty loss, are the most affected …
Airlines, which suffer from a monetary and customer loyalty loss, are the most affected …
Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …
transportation industry. This industry seeks alternative methods and technologies for more …
Machine learning approach for flight departure delay prediction and analysis
E Esmaeilzadeh… - Transportation Research …, 2020 - journals.sagepub.com
The expected growth in air travel demand and the positive correlation with the economic
factors highlight the significant contribution of the aviation community to the US economy. On …
factors highlight the significant contribution of the aviation community to the US economy. On …
An explainable machine learning approach to improve take-off time predictions
Accurate aircraft trajectory predictions are necessary to compute exact traffic demand
figures, which are crucial for an efficient and effective air traffic flow and capacity …
figures, which are crucial for an efficient and effective air traffic flow and capacity …