This paper presents a dynamic network‐based approach for short‐term air traffic flow
prediction in en route airspace. A dynamic network characterizing both the topological …

In recent years, there has been considerable research interest in short-term traffic flow
forecasting. However, forecasting models offering a high accuracy at a fine temporal …

In order to alleviate flight delay it is important to understand how air traffic congestion
evolves or propagates. In this context, this paper focusses on the aggravation of airport …

A predictive model for departure traffic demand and its route distribution at look-ahead times
of 2-15 hours is proposed, for use in a queuing-network-based tool for strategic Traffic Flow …

Air-transport demand forecasting constitutes an important determinant of airport planning,
design, and operations. Errors in forecasting can be very costly. Underestimating demand …

In order to improve the accuracy and stability of air traffic flow prediction, an end-to-end deep
learning-based model is proposed in this paper. By analyzing spatial correlations of …

In order to promote the accuracy of short-term traffic flow forecasting, an adaptive real-time
model consisting of two important stages is proposed. The first stage encloses a novel …

The accurate short-term traffic flow forecasting is fundamental to both theoretical and
empirical aspects of intelligent transportation systems deployment. This study aimed to …

Effective traffic flow prediction is an essential component of any proactive traffic control
system and one of the pillars of an advanced traffic management system. Hence, the main …

This paper studies the time-space characteristics of air traffic flow in airport terminal area,
which aims at revealing the inner influence and congestion mechanism of air traffic flow and …