An aggregate air traffic flow model based on a multicommodity network is used for traffic flow
management in the National Airspace System. The problem of minimizing the total travel …

TRAFFIC flow management (TFM) in the United States consists of two loosely coupled
phases under current-day operations. In the first phase, the Federal Aviation Administration's …

The analysis of various data is a challenging issue in the field of air traffic flow management
(ATFM). Managing a large volume of data and their correct interpretation plays a key role in …

Today's air traffic management system is not expected to scale to the projected increase in
traffic over the next two decades. Enhancing collaboration between the controllers and the …

In the United States, air traffic flow management (TFM) is concerned with directing traffic
through the national airspace system (NAS), such that unsafe conditions are avoided. Unlike …

Abstract Belief-Desire-Intention (BDI) is a powerful agent paradigm that allows for the
development of so-called intelligent agents–agents that can reason and act based on their …

The organizational view on work systems focuses on the desired outcomes of work (ie, the
work process) while the emergent view focuses on how the work actually gets done (ie, the …

The air traffic management system is important to the United States' economy and way of life.
Furthermore, it is complex and largely controlled by human decision makers. We studied …

The operation and safety of the National Airspace System (NAS) is reliant on a multitude of
actors and systems, which includes the members of the Airline Operation Center (AOC) …

Delay cost functions that quantify the cost of delay to airlines are essential to air traffic
management research. Seventeen delay cost functions from previous research are …