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Accurate prediction of flight-level passenger traffic is of paramount importance in airline operations, influencing key decisions from pricing to route optimization. This study introduces a novel, multimodal deep learning approach to the…

Machine Learning · Computer Science 2024-01-11 Sina Ehsani , Elina Sergeeva , Wendy Murdy , Benjamin Fox

Accurately estimating aircraft fuel flow is essential for evaluating new procedures, designing next-generation aircraft, and monitoring the environmental impact of current aviation practices. This paper investigates the generalization…

Machine Learning · Computer Science 2025-07-25 Gabriel Jarry , Ramon Dalmau , Philippe Very , Junzi Sun

The unprecedented increase of commercial airlines and private jets over the next ten years presents a challenge for air traffic control. Precise flight trajectory prediction is of great significance in air transportation management, which…

Machine Learning · Computer Science 2022-03-18 Kai Zhang , Bowen Chen

As the importance of eco-friendly transportation increases, providing an efficient approach for marine vessel operation is essential. Methods for status monitoring with consideration to the weather condition and forecasting with the use of…

Machine Learning · Computer Science 2023-10-25 Pedram Agand , Allison Kennedy , Trevor Harris , Chanwoo Bae , Mo Chen , Edward J Park

To accommodate the unprecedented increase of commercial airlines over the next ten years, the Next Generation Air Transportation System (NextGen) has been implemented in the USA that records large-scale Air Traffic Management (ATM) data to…

Machine Learning · Computer Science 2021-06-16 Kai Zhang , Yushan Jiang , Dahai Liu , Houbing Song

With the rapid development of civil aviation and the significant improvement of people's living standards, taking an air plane has become a common and efficient way of travel. However, due to the flight characteris-tics of the aircraft and…

Artificial Intelligence · Computer Science 2024-06-21 Haoxing Liu , Fangzhou Shen , Haoshen Qin and , Fanru Gao

Accurate forecasting of jet fuel demand is crucial for optimizing supply chain operations in the aviation market. Fuel distributors specifically require precise estimates to avoid inventory shortages or excesses. However, there is a lack of…

Machine Learning · Computer Science 2025-11-11 Alessandro Contini , Davide Cacciarelli , Murat Kulahci

The aviation industry has experienced constant growth in air traffic since the deregulation of the U.S. airline industry in 1978. As a result, flight delays have become a major concern for airlines and passengers, leading to significant…

Machine Learning · Computer Science 2024-09-04 Rajesh Kumar Jha , Shashi Bhushan Jha , Vijay Pandey , Radu F. Babiceanu

Aircraft performance models play a key role in airline operations, especially in planning a fuel-efficient flight. In practice, manufacturers provide guidelines which are slightly modified throughout the aircraft life cycle via the tuning…

Applications · Statistics 2021-02-05 Florent Dewez , Benjamin Guedj , Vincent Vandewalle

Accurate calculation of aircraft fuel consumption plays an irreplaceable role in flight operations, optimization, and pollutant accounting. Calculating aircraft fuel consumption accurately is tricky because it changes based on different…

Applications · Statistics 2025-12-17 Linfeng Zhang , Alex Bian , Changmin Jiang , Lingxiao Wu

Electricity is difficult to store, except at prohibitive cost, and therefore the balance between generation and load must be maintained at all times. Electricity is traditionally managed by anticipating demand and intermittent production…

Machine Learning · Computer Science 2024-09-26 Julie Keisler , Margaux Bregere

Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the decision-making process for all players of commercial aviation. Moreover, the development of accurate prediction models for flight delays became…

Computers and Society · Computer Science 2021-04-06 Alice Sternberg , Jorge Soares , Diego Carvalho , Eduardo Ogasawara

A need to understand and predict vehicles' behavior underlies both public and private goals in the transportation domain, including urban planning and management, ride-sharing services, and intelligent transportation systems. Individuals'…

Machine Learning · Computer Science 2022-06-30 Mark Tenzer , Zeeshan Rasheed , Khurram Shafique , Nuno Vasconcelos

Flight delays due to holding maneuvers are a critical and costly phenomenon in aviation, driven by the need to manage air traffic congestion and ensure safety. Holding maneuvers occur when aircraft are instructed to circle in designated…

Machine Learning · Computer Science 2026-03-12 Jorge L. Franco , Manoel V. Machado Neto , Filipe A. N. Verri , Diego R. Amancio

This research investigates flight delay trends by examining factors such as departure time, airline, and airport. It employs regression machine learning methods to predict the contributions of various sources to delays. Time-series models,…

Machine Learning · Computer Science 2024-08-07 Aravinda Jatavallabha , Jacob Gerlach , Aadithya Naresh

The Big Data analytics are a logical analysis of very large scale datasets. The data analysis enhances an organization and improve the decision making process. In this article, we present Airline Delay Analysis and Prediction to analyze…

Machine Learning · Computer Science 2020-02-25 Ripon Patgiri , Sajid Hussain , Aditya Nongmeikapam

En-route congestion causes delays in air traffic networks and will become more prominent as air traffic demand will continue to increase yet airspace volume cannot grow. However, most existing studies on flight delay modeling do not…

Systems and Control · Electrical Eng. & Systems 2021-07-30 Yu Lin , Lishuai Li , Pan Ren , Yanjun Wang , W. Y. Szeto

The rapid development of Wi-Fi technologies in recent years has caused a significant increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements can be helpful for a more efficient network management. In this…

Networking and Internet Architecture · Computer Science 2024-08-20 Seyedeh Soheila Shaabanzadeh , Juan Sánchez-González

Predicting traffic conditions has been recently explored as a way to relieve traffic congestion. Several pioneering approaches have been proposed based on traffic observations of the target location as well as its adjacent regions, but they…

Artificial Intelligence · Computer Science 2023-08-22 Xingyi Cheng , Ruiqing Zhang , Jie Zhou , Wei Xu

Accurate delivery delay prediction is critical for maintaining operational efficiency and customer satisfaction across modern supply chains. Yet the increasing complexity of logistics networks, spanning multimodal transportation,…

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