An Incentive Compatible, Efficient Market for Air Traffic Flow Management

@article{Mehta2017AnIC,
  title={An Incentive Compatible, Efficient Market for Air Traffic Flow Management},
  author={Ruta Mehta and Vijay V. Vazirani},
  journal={Theor. Comput. Sci.},
  year={2017},
  volume={818},
  pages={41-50}
}
We present a market-based approach to the Air Traffic Flow Management (ATFM) problem. The goods in our market are delays and buyers are airline companies; the latter pay money to the Federal Aviation Administration (FAA) to buy away the desired amount of delay on a per flight basis. We give a notion of equilibrium for this market and an LP whose every optimal solution gives an equilibrium allocation of flights to landing slots as well as equilibrium prices for the landing slots. Via a reduction… 
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References

SHOWING 1-10 OF 37 REFERENCES
Equitable and Efficient Coordination in Traffic Flow Management
TLDR
This work develops a fairness metric to measure deviation from first-scheduled, first-served in the presence of conflicts, and develops an integer programming formulation that attempts to directly minimize this metric.
Auctions for the Safe, Efficient and Equitable Allocation of Airspace System Resources
In this paper, we present evidence of the need for the specification of property rights associated with airport departure and arrival time slots and then provide the rationale and means for using
A proposal for network air traffic flow management incorporating fairness and airline collaboration
TLDR
This paper presents network models that incorporate a notion of fairness - controlling number of reversals and total amount of overtaking and provides empirical results of the proposed optimization models on national-scale, real world datasets spanning across six days that show interesting tradeoffs between fairness and efficiency.
Slot Trading Opportunities in Collaborative Ground Delay Programs
TLDR
An efficient integer programming model is developed to solve the mediators problem, and it is shown that the resulting mechanism can substantially improve the ability of airlines to optimize their internal cost functions.
The Flow Management Problem in Air Traffic Control
A system of flow management is one of the most promising short-term approaches to alleviating the severe network-wide congestion problems that air traffic in the United States and in Europe is
Simple versus optimal mechanisms
The monopolist's theory of optimal single-item auctions for agents with independent private values can be summarized by two statements. The first is from Myerson [8]: the optimal auction is Vickrey
Competitive Equilibria in Two Sided Matching Markets with Non-transferable Utilities
We consider two sided matching markets consisting of agents with non-transferable utilities; agents from the opposite sides form matching pairs (e.g., buyers-sellers) and negotiate the terms of their
Frugality in path auctions
TLDR
This work investigates the payments the buyer must make in order to buy a path, and identifies the optimal mechanism with regard to total payment, which gives a lower bound on all mechanisms with Bayes--Nash equilibria.
Elicitation of Honest Preferences for the Assignment of Individuals to Positions
  • H. Leonard
  • Economics
    Journal of Political Economy
  • 1983
The problem of eliciting honest preferences from individuals who must be assigned to a set of positions is considered. Individuals know that they will be charged for the positions to which they are
...
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