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Related papers: Propagation of Delays in the National Airspace Sys…

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Technologically driven transport systems are characterized by a networked structure connecting operation centers and by a dynamics ruled by pre-established schedules. Schedules impose serious constraints on the timing of the operations,…

Physics and Society · Physics 2013-01-30 Pablo Fleurquin , Jose J. Ramasco , Victor M. Eguiluz

The prediction of flight delays plays a significantly important role for airlines and travelers because flight delays cause not only tremendous economic loss but also potential security risks. In this work, we aim to integrate multiple data…

Computers and Society · Computer Science 2019-11-06 Wei Shao , Arian Prabowo , Sichen Zhao , Siyu Tan , Piotr Konuiusz , Jeffrey Chan , Xinhong Hei , Bradley Feest , Flora D. Salim

We investigate the factors contributing to departure and arrival delays at a major international airport and develop predictive models to estimate both the likelihood and duration of delays. Using logistic regression, random forest, and…

Physics and Society · Physics 2026-01-06 Xavier Lemay , Fabian Bastin

Complex networks provide a suitable framework to characterize air traffic. Previous works described the world air transport network as a graph where direct flights are edges and commercial airports are vertices. In this work, we focus…

Physics and Society · Physics 2014-07-28 Pablo Fleurquin , José J. Ramasco , Victor M. Eguíluz

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 one of the most entrusted and the world's largest airline…

Machine Learning · Computer Science 2019-03-19 Navoneel Chakrabarty

Airlines are critical today for carrying people and commodities on time. Any delay in the schedule of these planes can potentially disrupt the business and trade of thousands of employees at any given time. Therefore, precise flight delay…

Machine Learning · Computer Science 2022-08-23 Sia Gholami , Saba Khashe

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

Disruptions in the National Airspace System (NAS) lead to significant losses to air traffic system participants and raise public concerns. We apply two methods, cluster analysis and anomaly detection models, to identify operational…

Systems and Control · Electrical Eng. & Systems 2025-02-27 Jing Xu , Mark Hansen , Megan Ryerson

Robustness is as important as efficiency in air transportation. All components in the air traffic system are connected to form an interactive network. So, a disturbance that occurs in one component, for example, a severe delay at an…

Other Computer Science · Computer Science 2021-11-19 Sang Hyun Kim , Eric Feron

Limiting flight delays during operations has become a critical research topic in recent years due to their prohibitive impact on airlines, airports, and passengers. A popular strategy for addressing this problem considers the uncertainty of…

Optimization and Control · Mathematics 2021-09-01 Sujeevraja Sanjeevi , Saravanan Venkatachalam

Predicting air traffic congestion and flow management is essential for airlines and Air Navigation Service Providers (ANSP) to enhance operational efficiency. Accurate estimates of future airport capacity and airspace density are vital for…

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

Flight delay happens every day in airports all over the world. However, systemic investigation in large scales remains a challenge. We collect primary data of domestic departure records from Bureau of Transportation Statistics of United…

Physics and Society · Physics 2020-05-12 Yan-Jun Wang , Ya-Kun Cao , Chen-Ping Zhu , Fan Wu , Ming-Hua Hu , Baruch Barzel , H. E. Stanley

The aviation industry is of great importance for a globally connected economy. Customer satisfaction with airlines and airport performance is considerably influenced by how much flights are delayed. But how should the delay be quantified…

Physics and Society · Physics 2021-04-01 Evangelos Mitsokapas , Benjamin Schäfer , Rosemary J. Harris , Christian Beck

Ground Delay Programs (GDPs) have been widely used to resolve excessive demand-capacity imbalances at arrival airports by shifting foreseen airborne delay to pre-departure ground delay. While offering clear safety and efficiency benefits,…

Systems and Control · Electrical Eng. & Systems 2024-05-21 Ke Liu , Mark Hansen

Currently, flight delays are common and they propagate from an originating flight to connecting flights, leading to large disruptions in the overall schedule. These disruptions cause massive economic losses, affect airlines' reputations,…

The severity of natural disasters is increasing every year, impacting many people's lives. During the response phase of disasters, airports are important hubs where relief aid arrives and people need to be evacuated. However, the airport…

Multiagent Systems · Computer Science 2025-07-08 Luka Van de Sype , Matthieu Vert , Alexei Sharpanskykh , Seyed Sahand Mohammadi Ziabari

Although the sun is really far away from us, some solar activities could still influence the performance and reliability of space-borne and ground-based technological systems on Earth. Those time-varying conditions in space caused by the…

Solar and Stellar Astrophysics · Physics 2022-09-19 Y. Wang , X. H. Xu , F. S. Wei , X. S. Feng , M. H. Bo , H. W. Tang , D. S. Wang , L. Bian , B. Y. Wang , W. Y. Zhang , Y. S. Huang , Z. Li , J. P. Guo , P. B. Zuo , C. W. Jiang , X. J. Xu , Z. L. Zhou , P. Zou

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

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
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