In order to efficiently balance traffic demand and capacity, optimization of Air Traffic Flow
Management (ATFM) relies on accurate predictions of future capacity states. However, these …

In an earlier work, Sun and Bayen built a Large-Capacity Cell Transmission Model for air
traffic flow management. They formulated an integer programming problem of minimizing the …

This study proposes a mesoscopic dynamic air traffic model based on a dynamic network for
en route airspaces by characterizing the dynamics and distribution of traffic speed. Based on …

The field of aviation research is entering the era of big data. While data-driven
advancements in aviation have clearly brought about applicable models and results with …

We propose a multi-layer network approach to model and analyze air traffic terminal
networks, which are viewed as complex, task-critical, techno-social systems with numerous …

The Extended ATC Planning (EAP) function aims at bridging the gap between Air Traffic
Flow & Capacity Management (ATFCM) and Air Traffic Control (ATC) by predicting air traffic …

An aggregate route model for strategic air traffic flow management is presented. It is an
Eulerian model, describing the flow between segments of unidirectional point-to-point …

In this paper, we address the issue of congestion in future Unmanned Aerial Vehicle (UAVs)
traffic system in uncertain weather. We treat the traffic of UAVs as fluid queues, and …

In order to efficiently balance the current and future air traffic demands with the system
capacity, a proper Air Traffic Flow Management (ATFM) approach is required. The current …

Air traffic flow management has been a major means for balancing air traffic demand and
airport or airspace capacity to reduce congestion and flight delays. However, unpredictable …