Efficient airport operations depend on appropriate actions and reactions to current
constraints. Local weather events and their impact on airport performance may have network …

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 …

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 …

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 …

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 …

Compared with departures, predicting the weather impact on arrival delays is more
challenging because of possible non-linear, cascading effects, and higher uncertainty …

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 …

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 …

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 …

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 …