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 …

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 …

The Chinese air transport system has witnessed an important evolution in the last decade,
with a strong increase in the number of flights operated and a consequent reduction of their …

Air traffic system is a typical complex network with dynamic delay propagation between
airports. However, difficulties in measuring delay propagation strength and constructing …

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 …

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 …

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 …

Complex network theory, in conjunction with metrics able to detect causality relationships
from time series, has recently emerged as an effective and intuitive way of studying delay …

It has been widely recognized that delay propagation is a widespread phenomenon in air
transport systems. Regional air transport systems are vulnerable to severe systemic delay …

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 …