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 …

[HTML][HTML] Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

S Mokhtarimousavi, A Mehrabi - International Journal of Transportation …, 2023 - Elsevier
The consequences of flight delay can significantly impact airports' on‐time performance and
airline operations, which have a strong positive correlation with passenger satisfaction …

[PDF][PDF] Predictive modeling of aircraft flight delay

AM Kalliguddi, AK Leboulluec - Universal Journal of Management, 2017 - researchgate.net
Flight delay has been one of the major issues in the airline industry. A study by Frankfurt-
based consulting company'Aviation Experts', presented that costs of $25 billion were …

Hierarchical integrated machine learning model for predicting flight departure delays and duration in series

WA Khan, HL Ma, SH Chung, X Wen - Transportation Research Part C …, 2021 - Elsevier
Flight delays may propagate through the entire aviation network and are becoming an
important research topic. This paper proposes a novel hierarchical integrated machine …

Predictive modelling: flight delays and associated factors, hartsfield–Jackson Atlanta International airport

R Henriques, I Feiteira - Procedia computer science, 2018 - Elsevier
Nowadays, a downside to traveling is the delays that are constantly being advertised to
passengers resulting in a decrease in customer satisfaction and causing costs …

Applications of business analytics in predicting flight on-time performance in a complex and dynamic system

D Truong, MA Friend, H Chen - Transportation …, 2018 - scholarlypublishingcollective.org
Flight on-time performance is one of the most important issues in the National Airspace
System, a very complex and dynamic system. To avoid negative impacts to the aviation …

A data mining approach to flight arrival delay prediction for american airlines

N Chakrabarty - 2019 9th Annual Information Technology …, 2019 - ieeexplore.ieee.org
In the present scenario of domestic flights in USA, there have been numerous instances of
flight delays and cancellations. In the United States, the American Airlines, Inc. have been …

Generation and prediction of flight delays in air transport

Q Li, R Jing - IET Intelligent Transport Systems, 2021 - Wiley Online Library
This paper presents models for flight delay prediction by considering both the local effects
and network effects for the individual airport. Following a complex network approach, the …

A Multilayer Perceptron Neural Network with Selective‐Data Training for Flight Arrival Delay Prediction

H Alla, L Moumoun, Y Balouki - Scientific Programming, 2021 - Wiley Online Library
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 …

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 …