Collaborative Virtual Queue: Fair Management of Congested Departure Operations and Benefit Analysis

Due to the stochastic nature of departure operations, working at full capacity makes major US airports very sensitive to uncertainties. Consequently, airport ground operations face critically congested taxiways and long runway queues. In this report, we show how improved management of departure operations from the readyto-push-back time to the wheels-off time can potentially yield significant benefits to airlines and air traffic services. We develop a Collaborative Virtual Queue to enable better optimization capabilities during congested situations while taking into account the laissez-faire competitive environment. Results are evaluated using a departure system model, validated using current statistics and previous studies. First, the Collaborative Virtual Queue enables keeping aircraft away from runway queues, which increases wheels-off time predictability. Second, holding aircraft enables last-minute intra-airline flight switching. This creates new optimization capabilities for airlines i.e. it gives airlines the flexibility to prioritize their flight sequence in real-time. These capabilities are illustrated by the trade-off between minimizing the average passenger waiting time and minimizing the level of unfairness between aircraft of the same airline. For instance, airlines could choose to decrease by up to 15% their average passenger waiting time by prioritizing heavy planes over small planes when the taxiway system is congested. ∗Corresponding author, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, [email protected] †School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, [email protected] ‡School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, [email protected] 1 ar X iv :0 80 7. 06 61 v1 [ cs .O H ] 3 J ul 2 00 8