Perfect flight delay forecasting is crucial for the development of an extra productive airways
sector. Current studies cover spotlight on predicting flight delays using machine learning …

不同于目前大多数只倾向于研究单一的分类或回归任务的航班延误预测方法,
该文提出一种基于多任务NR-DenseNet 网络的航班延误预测模型, 旨在同时实现航班延误等级 …

In recent years, flight delay costs the air transportation industry millions of dollars and has
become a systematic problem. Understanding the behavior of flight delay is thus critical. This …

The objective of this research is to predict the delays in the departure of scheduled
commercial flights through a methodology that uses predictive tools based on machine …

Accurate flight delay prediction is one of the most important preventive measures for the
increasingly frequent airport flight delays. The airport network is transformed from irregular …

Airport ground processes are a critical path in the air traffic network. The management and
reliability of the scheduled turnaround time is essential for the system's robustness and …

As a result of the current flight delay, many other flights in the future are also delayed, and
existing flight operations have been disrupted. The rate of aircraft delays and the …

This paper explores the application of count models to represent the relationship between
flight disruptions and weather. Throughout the world, flights are regularly disrupted by …

HE New York area presents an ongoing challenge for air traffic management because of the
close proximity of three of the busiest airports in the country. The traffic counts combined …