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 …

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 …

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 delay prediction has recently gained growing popularity due to the significant role it
plays in efficient airline and airport operation. Most of the previous prediction works consider …

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 …

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 …

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 …

To probe deeply into the underlying mechanism of flight delay propagation, we construct the
delay propagation networks among airports via refined nonlinear Granger causality, which is …