[HTML][HTML] Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty
R Shone, K Glazebrook, KG Zografos - European Journal of Operational …, 2021 - Elsevier
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 …
applications within aviation, with a particular focus on problems involving demand and …
Flight delay prediction for commercial air transport: A deep learning approach
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 …
practical flight delay prediction model. Following a multifactor approach, a novel deep belief …
Bike-share systems: Accessibility and availability
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 …
share systems to facilitate the use of bicycles for urban commuting. This paper estimates the …
Modeling flight delay propagation: A new analytical-econometric approach
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 …
billions of dollars every year. Some delay originating from an upstream flight spreads to …
Timescales of delay propagation in airport networks
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 …
transportation infrastructure. How quickly delay propagates between two airports is …
Dynamic disruption management in airline networks under airport operating uncertainty
J Lee, L Marla, A Jacquillat - Transportation Science, 2020 - pubsonline.informs.org
Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and
ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and …
ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and …
Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …
transportation industry. This industry seeks alternative methods and technologies for more …
A review of sustainability in aviation: A multidimensional perspective
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 …
airports and airspace. Working at nearly maximum capacity involves risks that normally …
Sooner or later? Promising delivery speed in online retail
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 …
an order can be delivered before they decide to make the purchase. Retailers can …
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 …