Air Traffic Control with an expected value criterion

Authors:	Lecchini Andrea, University of Cambridge, United Kingdom Glover William, University of Cambridge, United Kingdom Lygeros John, University of Patras, Greece Maciejowski Jan, University of Cambridge, United Kingdom
Topic:	7.4 Transportation Systems
Session:	Air and Rail Control Systems
Keywords:	Air Traffic Control, Monte Carlo Markov Chain, Model Predictive Control

Abstract

In this contribution we discuss a stochastic framework for air traffic conflict resolution. The conflict resolution task is posed as the problem of optimizing an expected value criterion. Optimization is carried out by Monte Carlo Markov Chain (MCMC) simulation. A numerical example illustrates the proposed strategy.