Analysis of efficiency and fairness in stochastic ground holding models

Abstract

Allocating limited resources in a fair and efficient manner is crucial to the functioning of the air transportation system. Limited arrival and departure capacity at airports is one of the major drivers of congestion. The Ground Holding Problem refers to the problem of efficiently allocating landing slots during periods of reduced capacity. In this thesis, we propose a new model of the Ground Holding Problem. This formulation accounts for fairness in slot allocation and operational constraints, while being robust to the duration and severity of the disruption. The performance of this new method is evaluated using operational flight data.