Potential use of artificial intelligence techniques in air traffic control
October 1985
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Format: | Technical Report |
Published: |
Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics, Flight Transportation Laboratory, [1985]
2012
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Online Access: | http://hdl.handle.net/1721.1/68082 |
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author | Elias, Antonio L. |
author2 | Massachusetts Institute of Technology. Flight Transportation Laboratory |
author_facet | Massachusetts Institute of Technology. Flight Transportation Laboratory Elias, Antonio L. |
author_sort | Elias, Antonio L. |
collection | MIT |
description | October 1985 |
first_indexed | 2024-09-23T09:04:18Z |
format | Technical Report |
id | mit-1721.1/68082 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T09:04:18Z |
publishDate | 2012 |
publisher | Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics, Flight Transportation Laboratory, [1985] |
record_format | dspace |
spelling | mit-1721.1/680822019-04-10T10:00:20Z Potential use of artificial intelligence techniques in air traffic control Artificial intelligence techniques in air traffic control. Potential use of A.I. in ATC Potential use of AI techniques in ATC Artificial intelligence techniques in air traffic control Elias, Antonio L. Massachusetts Institute of Technology. Flight Transportation Laboratory Air traffic control Artificial intelligence October 1985 A.I., or Artificial Intelligence, is a vast field that includes more than the so-called "Expert Systems" that the public seems to identify with A.I. In particular, research in A.I. has created an entirely new mode of operating with computers which raises the level of abstraction at which the computer user (and the programmer) interfaces with the computer, enabling systematic and economical handling of high-complexity problems. These techniques are particularly applicable to Air Traffic Control automation problems which exhibit a high degree of complexity, such as system-wide simulation experiments, flow control procedures, and tactical control supervision. In addition, specific A.I. techniques- such as Expert Systems - have unique specific applications in ATC, for example Airport Runway Configuration planning, passive visual radar, and others. 2012-01-06T22:08:49Z 2012-01-06T22:08:49Z 1985 Technical Report 13355796 http://hdl.handle.net/1721.1/68082 FTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R85-7 30 leaves application/pdf Massachusetts Institute of Technology, Dept. of Aeronautics & Astronautics, Flight Transportation Laboratory, [1985] |
spellingShingle | Air traffic control Artificial intelligence Elias, Antonio L. Potential use of artificial intelligence techniques in air traffic control |
title | Potential use of artificial intelligence techniques in air traffic control |
title_full | Potential use of artificial intelligence techniques in air traffic control |
title_fullStr | Potential use of artificial intelligence techniques in air traffic control |
title_full_unstemmed | Potential use of artificial intelligence techniques in air traffic control |
title_short | Potential use of artificial intelligence techniques in air traffic control |
title_sort | potential use of artificial intelligence techniques in air traffic control |
topic | Air traffic control Artificial intelligence |
url | http://hdl.handle.net/1721.1/68082 |
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