Abstract Service providers routinely share information about upcoming waiting times with
their customers, through delay announcements. The need to effectively manage the …

One of the major business problems that airlines face is the significant costs that are
associated with flights being delayed due to natural occurrences and operational …

This systematic review evaluates the applications of artificial intelligence (AI) in air
operations, following the PRISMA 2020 methodology. The primary objective is to identify …

With the increasing of civil aviation business, flight delay has become a key problem in civil
aviation field in recent years, which has brought a considerable economic impact to airlines …

Motivated by interest in providing more efficient services in customer service systems, we
use statistical learning methods and delay history information to predict the conditional …

With the rapid increase of civil aviation transport volume, the problem of flight delays is still
extremely serious. Effective prediction of flight delays will not only reduce the economic …

The departure time uncertainty exacerbates the inaccuracy of arrival time estimation and
demand for arrival slots, particularly for movements to capacity constrained airports. The …

According to the data from the Bureau of Trans-portation Statistics (BTS), the number of
passengers and flights has been increasing year by year. However, flight delay has become …

The air traffic network is the small-world system whose delay propagates among the entire
network quickly. These frequent delays bring huge economic and resources loss. Therefore …

Abstract We employ Mixture Density Networks (MDNs) as a general approach for estimation
of customer waiting times in queueing systems based on system states that customers …