We build a delay propagation network based on Bayesian Network approach to study the
complex phenomenon of delay propagation within a large network consisting of the 100 …

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 …

To better understand the mechanism of flight delay propagation at the system-level, we built
a delay causality network (DCN) based on the Granger causality test. Through topological …

We developed an airline network delay propagation model using a Bayesian Network in a
delay-tree framework, accounting for multiple connecting sources of an airline including …

In the air traffic control (ATC) system, delays are tightly coupled among airports.
Understanding the interactions of these delays is a prerequisite for accurate prediction …

The National Airspace System (NAS) is a large and complex system with thousands of
interrelated components: administration, control centers, airports, airlines, aircraft …

Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic
demand and limited airspace capacity. As air traffic is associated with complex air transport …

Complex networks provide a suitable framework to characterize air traffic. Previous works
described the world air-transport network as a graph where direct flights are edges and …

We describe an analytical queuing and network decomposition model developed to study
the complex phenomenon of the propagation of delays within a large network of major …

Flight delays are one of the most discussed, yet not fully understood, topics in the aviation
industry. In this paper, we shed more light into propagation of flight delays by providing a …