Over the past two decades, the aviation sector has seen dramatic growth in demand with
limited support in terms of supply, due to under-development of the larger airport …

In this paper we provide a wide-ranging review of the literature on stochastic modeling
applications within aviation, with a particular focus on problems involving demand and …

This paper presents an overview of several important areas of operations research
applications in the air transport industry. Specific areas covered are: the various stages of …

Air traffic flow management in Europe has to deal as much with capacity constraints in en
route airspace as with the more usual capacity constraints at airports. The en route sector …

This paper summarizes research trends and opportunities in the area of managing air
transportation demand and capacity. Capacity constraints and resulting congestion and low …

In this paper, we present a dynamic stochastic integer programming (IP) model for the single
airport ground holding problem, in which ground delays assigned to flights can be revised …

This paper proposes a collaborative air traffic flow management (ATFM) framework, in the
scope of trajectory based operations, aiming to improve the cost-efficiency for airspace users …

We model the impact of weather and arrival demand on ground delay program (GDP)
incidence. We use Support Vector Machine (SVM) to analyze how regional convective …

Air traffic management measures comprise tactical operating procedures to minimize delay
costs and strategic scheduling interventions to control overcapacity scheduling. Although …

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 …