Automated identification of terminal area air traffic flows and weather related deviations

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2008

Author dc:creator

• Ng, Tony M. Eng. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Richard DeLaura and Patrick H. Winston.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/46010

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/46010