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Probabilistic Aircraft Conflict Detection:A Case Study in Stochastic Hybrid Systems

Current air traffic management practices are being stressed by a constant increase in the demand for air travel. This leads to a number of problems, such as increased delays and increased workload for the pilots and air traffic controllers, which may also have an impact on safety. To alleviate these problems different methods for managing air traffic in the future are being proposed. Aircraft conflict detection and resolution schemes play a central role in this process. In this talk conflict detection schemes operating in the mid- and short-range level of the air traffic management process will be presented. Probabilistic models for predicting aircraft positions in the future are developed. Based on these models, randomized algorithms are introduced to efficiently estimate the probability of conflict over a prediction horizon and provide quantitative bounds on the level of approximation introduced. The performance of the algorithms in terms of false alarms and missed detections is analyzed using Monte Carlo simulations.
Type of Seminar:
Public Seminar
Prof. John Lygeros
Department of Engineering University of Cambridge Trumpington Street Cambridge, CB2 1PZ, U.K.
Nov 23, 2000   17:15

ETH-Zentrum, ETZ E6, Gloriastr. 35, 8006 Zürich
Contact Person:

Prof. M.Morari
No downloadable files available.
Biographical Sketch:
John Lygeros received his B.Eng. and M.Sc. degrees from Imperial College of Science Technology & Medicine, London, U.K, and his Ph.D. degree from the Electrical Engineering and Computer Sciences Department of the University of California, Berkeley. He held postdoctoral research appointments with the Institute of Transportation studies at U.C. Berkeley, the Laboratory for Computer Science at MIT and with the Electrical Engineering and Computer Sciences Department at U.C. Berkeley. In parallel, he also held a part time Research Engineer position at SRI International (May 1998-December 1999) and a visiting professor position at the Mathematics Department of the Universite de Bretagne Occidentale, Brest, France (May-June 1999). He is currently a University Lecturer at the Department of Engineering, University of Cambridge, U.K. His research interests include hierarchical, hybrid and nonlinear control theory and their applications to large scale systems such as Highway Systems, Air Traffic Management and power networks.