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Related papers: Airport Delay Prediction with Temporal Fusion Tran…

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Flight delay prediction has become a key focus in air traffic management (ATM), as delays reflect inefficiencies in the system. This paper proposes LLM4Delay, a large language model (LLM)-based framework for predicting flight delays from…

Machine Learning · Computer Science 2026-04-13 Thaweerath Phisannupawong , Joshua Julian Damanik , Han-Lim Choi

This paper addresses aircraft delays, emphasizing their impact on safety and financial losses. To mitigate these issues, an innovative machine learning (ML)-enhanced landing scheduling methodology is proposed, aiming to improve automation…

Artificial Intelligence · Computer Science 2023-11-28 Yutian Pang , Peng Zhao , Jueming Hu , Yongming Liu

Time spent in processing zones at an airport are an important part of the passenger's airport experience. It undercuts the time spent in the rest of the airport, and therefore the revenue that could be generated from shopping and dining. It…

Other Computer Science · Computer Science 2015-08-21 Harold Nikoue , Aude Marzuoli , John-Paul Clarke , Eric Feron , Jim Peters

Accurate flight delay prediction is crucial for the secure and effective operation of the air traffic system. Recent advances in modeling inter-airport relationships present a promising approach for investigating flight delay prediction…

Computational Engineering, Finance, and Science · Computer Science 2024-07-23 Qihui Zhu , Shenwen Chen , Tong Guo , Yisheng Lv , Wenbo Du

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

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

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

Robust travel time predictions are of prime importance in managing any transportation infrastructure, and particularly in rail networks where they have major impacts both on traffic regulation and passenger satisfaction. We aim at…

Machine Learning · Computer Science 2023-12-22 Farid Arthaud , Guillaume Lecoeur , Alban Pierre

Under increasing economic and environmental pressure, airlines are constantly seeking new technologies and optimizing flight operations to reduce fuel consumption. However, the current practice on fuel loading, which has a significant…

Machine Learning · Computer Science 2021-06-08 Xinting Zhu , Lishuai Li

This article presents a model for the economic value of extra capacity at an airport. The model is based on a series of functional relationships linking the benefits of extra capacity and the associated costs. It takes into account the cost…

Applications · Statistics 2020-08-25 Gérald Gurtner , Anne Graham , Andrew Cook , Samuel Cristóbal

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

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

Predicting of airfoil aerodynamic performance is a key part of aircraft design optimization, but the traditional methods (such as wind tunnel test and CFD simulation) have the problems of high cost and low efficiency, and the existing…

Neural and Evolutionary Computing · Computer Science 2025-06-10 MaolinYang , Yaohui Wang , Pingyu Jiang

This paper proposes a novel approach to predict and determine whether the average taxi- out time at an airport will exceed a pre-defined threshold within the next hour of operations. Prior work in this domain has focused exclusively on…

Machine Learning · Computer Science 2021-11-18 Erik Vargo , Alex Tien , Arian Jafari

Estimated time of arrival (ETA) for airborne aircraft in real-time is crucial for arrival management in aviation, particularly for runway sequencing. Given the rapidly changing airspace context, the ETA prediction efficiency is as important…

Machine Learning · Computer Science 2025-08-14 Liping Huang , Yicheng Zhang , Yifang Yin , Sheng Zhang , Yi Zhang

Accurate and reliable aircraft landing time prediction is essential for effective resource allocation in air traffic management. However, the inherent uncertainty of aircraft trajectories and traffic flows poses significant challenges to…

Multiagent Systems · Computer Science 2025-12-10 Kyungmin Kim , Seokbin Yoon , Keumjin Lee

With the emergence of new application areas such as cyber-physical systems and human-in-the-loop applications ensuring a specific level of end-to-end network latency with high reliability (e.g., 99.9%) is becoming increasingly critical. To…

Networking and Internet Architecture · Computer Science 2025-03-20 Samie Mostafavi , Gourav Prateek Sharma , Ahmad Traboulsi , James Gross

In light of the rapid expansion of civil aviation, addressing the delays and congestion phenomena in the vicinity of metroplex caused by the imbalance between air traffic flow and capacity is crucial. This paper first proposes a bi-level…

Neural and Evolutionary Computing · Computer Science 2025-02-21 Tonghe li , Jixin Liu , Hao Jiang , Weili Zeng , Lei Yang

Extreme weather poses significant threats to air transportation systems, causing flight rerouting and cancellations, as well as passenger travel delays. With the growing frequency of extreme weather hazards, it is essential to understand…

Physics and Society · Physics 2023-04-25 Chia-Wei Hsu , Chenyue Liu , Zhewei Liu , Ali Mostafavi

The Massachusetts Bay Transportation Authority (MBTA) is the main public transit provider in Boston, operating multiple means of transport, including trains, subways, and buses. However, the system often faces delays and fluctuations in…

Machine Learning · Computer Science 2025-12-03 Sai Siddharth Nalamalpu , Kaining Yuan , Aiden Zhou , Eugene Pinsky