In this paper we provide a wide-ranging review of the literature on stochastic modeling
applications within aviation, with a particular focus on problems involving demand and …

This study analyzes high-dimensional data from Beijing International Airport and presents a
practical flight delay prediction model. Following a multifactor approach, a novel deep belief …

The cities of Paris, London, Chicago, and New York (among many others) have set up bike-
share systems to facilitate the use of bicycles for urban commuting. This paper estimates the …

Flight delay presents a widespread phenomenon in the air transportation system, costing
billions of dollars every year. Some delay originating from an upstream flight spreads to …

Flight delays persist and spread in airport networks due to high interconnectivity in the air
transportation infrastructure. How quickly delay propagates between two airports is …

Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and
ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and …

The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …

The notable growth of air transportation in recent years has led to increasingly congested
airports and airspace. Working at nearly maximum capacity involves risks that normally …

Problem definition: Online retailers have to provide customers with an estimate of how fast
an order can be delivered before they decide to make the purchase. Retailers can …

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