Automated identification of terminal area air traffic flows and weather related deviations
Name
355829114-MIT.pdf
Description
Full printable version
Size
15.54 MB
Format
Adobe PDF
Checksum (MD5)
04bf34de8022a3f408a463815b351efa
Author(s)
Ng, Tony M. Eng. Massachusetts Institute of Technology
Advisor(s)
Richard DeLaura and Patrick H. Winston.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
Air traffic in terminal air space is very complex, making it very difficult to identify air traffic flows. Finding air traffic flows and flow boundaries are very helpful in analyzing how air traffic would react to weather. This thesis created the Terminal Traffic Flow Identifier algorithm to solve this problem. The algorithm was demonstrated to work in the Atlanta by quickly processing 20,000 sample trajectories and returning accurate flows with tight boundaries. This thesis also created techniques to extract weather features that occur inside the identified flows and demonstrated that training upon these features give good results. The algorithms and software created in this thesis may soon be incorporated into larger traffic managements systems developed at MIT Lincoln Laboratory.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 47).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
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