Geometric programming and mechanism design for air traffic conflict resolution

We develop certain extensions of optimization-based conflict resolution methods in air traffic control. The problem considered concerns the scheduling of the crossing times of a set of aircraft through a metering fix, while maintaining aircraft separation. First, we show how to solve this combined path planning and scheduling problem using mixed-integer geometric programming. Second, the objective function used to determine the aircraft ordering at the fix is not given a priori but needs to be obtained from the airlines, which are strategic profit maximizing agents and could lie about their true cost. In order to realign individual and global objectives, we study the use of the Clarke-Groves mechanism in this context, which aims at extracting the true utility functions from the airlines using side-payments to the FAA.

[1]  John Lygeros,et al.  Monte Carlo Optimization Strategies for Air-Traffic Control , 2005 .

[2]  Johan Efberg,et al.  YALMIP : A toolbox for modeling and optimization in MATLAB , 2004 .

[3]  E. Feron,et al.  Resolution of Conflicts Involving Many Aircraft via Semidefinite Programming , 2001 .

[4]  Antonio Bicchi,et al.  Conflict resolution problems for air traffic management systems solved with mixed integer programming , 2002, IEEE Trans. Intell. Transp. Syst..

[5]  James K. Kuchar,et al.  A review of conflict detection and resolution modeling methods , 2000, IEEE Trans. Intell. Transp. Syst..

[6]  Stephen P. Boyd,et al.  A tutorial on geometric programming , 2007, Optimization and Engineering.

[7]  G. D. Sweriduk,et al.  Optimal Strategies for Free-Flight Air Traffic Conflict Resolution , 1999 .

[8]  A. Mas-Colell,et al.  Microeconomic Theory , 1995 .

[9]  William P. Niedringhaus Stream Option Manager (SOM): automated integration of aircraft separation, merging, stream management, and other air traffic control functions , 1995, IEEE Trans. Syst. Man Cybern..

[10]  W. Marsden I and J , 2012 .

[11]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[12]  Steven L. Waslander Multi-agent systems design for aerospace applications , 2007 .

[13]  Banavar Sridhar,et al.  Optimal strategies for free flight air traffic conflict resolution , 1997 .

[14]  J. Lofberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508).

[15]  Ilya Segal,et al.  Solutions manual for Microeconomic theory : Mas-Colell, Whinston and Green , 1997 .

[16]  Michael O. Ball,et al.  Slot Trading Opportunities in Collaborative Ground Delay Programs , 2006, Transp. Sci..

[17]  E. H. Clarke Multipart pricing of public goods , 1971 .

[18]  Theodore Groves,et al.  Incentives in Teams , 1973 .

[19]  C. Tomlin,et al.  Decentralized optimization, with application to multiple aircraft coordination , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[20]  Tim Roughgarden,et al.  Algorithmic Game Theory , 2007 .