Monte Carlo Optimization Strategies for Air-Traffic Control

Abstract

The safety of the igh ts, and in particular conict resolution for separation assurance, is one of the main tasks of Air Trac Control. Conict resolution requires decision making in the face of the considerable levels of uncertainty inherent in the motion of aircraft. We present a Monte Carlo framework for conict resolution which allows one to take into account such levels of uncertainty through the use of a stochastic simulator. A simulation example inspired by current air trac control practice illustrates the proposed conict resolution strategy.

Original document

The different versions of the original document can be found in:

• http://pdfs.semanticscholar.org/1ded/8754cb91385775e8740663d721ed7d8cb91e.pdf

• http://arc.aiaa.org/doi/pdf/10.2514/6.2005-5821,

http://dx.doi.org/10.2514/6.2005-5821

• http://publications.eng.cam.ac.uk/402555,

https://academic.microsoft.com/#/detail/2126007133