Predictive classification and understanding of weather impact on airport performance through machine learning
Efficient airport operations depend on appropriate actions and reactions to current
constraints. Local weather events and their impact on airport performance may have network …
constraints. Local weather events and their impact on airport performance may have network …
[HTML][HTML] Weather impact on airport performance
Weather events have a significant impact on airport performance and cause delayed
operations if the airport capacity is constrained. We provide quantification of the individual …
operations if the airport capacity is constrained. We provide quantification of the individual …
Impact of weather conditions on airport arrival delay and throughput
Á Rodríguez-Sanz, J Cano… - Aircraft engineering and …, 2022 - emerald.com
Purpose Weather events have a significant impact on airport arrival performance and may
cause delays in operations and/or constraints in airport capacity. In Europe, almost half of all …
cause delays in operations and/or constraints in airport capacity. In Europe, almost half of all …
[HTML][HTML] Estimating entry counts and ATFM regulations during adverse weather conditions using machine learning
A Jardines, M Soler, J García-Heras - Journal of Air Transport Management, 2021 - Elsevier
In recent years, convective weather has been the cause of significant delays in the
European airspace. With climate experts anticipating the frequency and intensity of …
European airspace. With climate experts anticipating the frequency and intensity of …
Prediction of runway configurations and airport acceptance rates for multi-airport system using gridded weather forecast
Y Wang, Y Zhang - Transportation Research Part C: Emerging …, 2021 - Elsevier
Accurate prediction of real-time airport capacity, aka airport acceptance rates (AARs), is key
to enabling efficient air traffic flow management. AARs are dependent on selected runway …
to enabling efficient air traffic flow management. AARs are dependent on selected runway …
Weather impact quantification on airport arrival on-time performance through a Bayesian statistics modeling approach
Compared with departures, predicting the weather impact on arrival delays is more
challenging because of possible non-linear, cascading effects, and higher uncertainty …
challenging because of possible non-linear, cascading effects, and higher uncertainty …
Chained predictions of flight delay using machine learning
J Chen, M Li - AIAA Scitech 2019 forum, 2019 - arc.aiaa.org
With rapid growth of air traffic, increasing flight delays in the United States (US) have
become a serious and prominent problem. According to the Bureau of Transportation …
become a serious and prominent problem. According to the Bureau of Transportation …
Airport delay prediction using weather-impacted traffic index (WITI) model
A Klein, C Craun, RS Lee - 29th Digital Avionics Systems …, 2010 - ieeexplore.ieee.org
In this paper, we present a new predictive model for estimating airport delay using data from
weather forecast products. We use the well established Weather Impacted Traffic Index …
weather forecast products. We use the well established Weather Impacted Traffic Index …
Flight delay prediction using airport situational awareness map
The prediction of flight delays plays a significantly important role for airlines and travellers
because flight delays cause not only tremendous economic loss but also potential security …
because flight delays cause not only tremendous economic loss but also potential security …
Artificial neural network models for airport capacity prediction
S Choi, YJ Kim - Journal of Air Transport Management, 2021 - Elsevier
This paper proposes artificial neural network models to predict the arrival/departure capacity
of airports. Multilayer perceptron (MLP), recurrent neural networks (RNN), and long short …
of airports. Multilayer perceptron (MLP), recurrent neural networks (RNN), and long short …