Equitable and efficient coordination of traffic flow management programs
msra(2009)
摘要
When air traffic demand is projected to exceed capacity, the FAA implements Traffic Flow Management programs. Independently, these programs maintain a first-scheduled, first-served invariant, which is the accepted standard of fairness within the industry. Coordinating multiple programs requires a careful balance between equity and efficiency. In our work, we first develop a fairness metric to measure deviation from first-scheduled, firstserved. Next, we develop an IP formulation that attempts to directly minimize this metric. We further develop an exponential penalty approach and show that its computational performance is far superior and its trade-off between delay and fairness compares favorably. In our results, we demonstrate the effectiveness of these models using regional and national scenarios. Additionally, we demonstrate that the exponential penalty approach exhibits exceptional computational performance, implying practical viability. Our tests suggest that this approach could lead to systemwide savings on the order of $100 million per year.
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