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 …

Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …

Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …

Flight departure delay prediction is one of the most critical components of intelligent aviation
systems. The accurate prediction of flight departure delays can provide passengers with …

Flight delays may propagate through the entire aviation network and are becoming an
important research topic. This paper proposes a novel hierarchical integrated machine …

In this paper, we propose a novel prediction framework (ST-Random Forest) for flight delay
prediction from temporal and spatial perspective. We first apply complex network theory to …

Data science and analytics are attracting more and more attention from researchers and
practitioners in recent years. Due to the rapid development of advanced technologies …

Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the
decision-making process for all players of commercial aviation. Moreover, the development …

Predicting and analysing flight delays is essential for successful air traffic management and
control. We propose a novel parallel-series model and novel adaptive bidirectional extreme …

Delays in air transportation are a major concern that has negative impacts on the airline
industry and the economy. Given the complexity of the National Air Space system, predicting …