Scipediacontent: Scipediacontent moved page Draft Content 945073970 to Gerdes et al 2012a

2021-01-21T12:19:46Z

Scipediacontent moved page Draft Content 945073970 to Gerdes et al 2012a

Scipediacontent: Created page with " == Abstract == The demand for increasing airport capacity combined with many constraints as well as the complexity of the data itself leads to the use of heuristic methods f..."

2021-01-21T12:19:43Z

Created page with " == Abstract == The demand for increasing airport capacity combined with many constraints as well as the complexity of the data itself leads to the use of heuristic methods f..."

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== Abstract ==

The demand for increasing airport capacity combined with many constraints as well as the complexity of the data itself leads to the use of heuristic methods from the computational intelligence domain. More specifically, the focus in this paper is on how (fuzzy) clustering methods and evolutionary algorithms are applied on various aspects of the Air Traffic Management domain. Fuzzy clustering techniques have been used for data evaluation and pre-processing. One task is the identification and correction of noise and outliers in radar tracks as a pre-processing step. In addition, clustering has been applied to identify general flight routes in retrospective analysis tasks as well as to generate fuzzy rules, thus verifying or complementing expert knowledge regarding transfer passenger movements. Evolutionary algorithms are used to assist air- and ground traffic controllers. Namely in Rogena (free ROuting with GENetic Algorithms) for route planning and TRACC (Taxi Routes for Aircraft: Creation and Controlling) for ground movement planning. Both systems create conflict free routes for aircraft which are suggested to the air- and ground traffic controllers, respectively.

== Original document ==

The different versions of the original document can be found in:

* [http://www.springer.com/series/7092 http://www.springer.com/series/7092]

* [http://www.springerlink.com/index/pdf/10.1007/978-3-642-32378-2_20 http://www.springerlink.com/index/pdf/10.1007/978-3-642-32378-2_20],
: [http://dx.doi.org/10.1007/978-3-642-32378-2_20 http://dx.doi.org/10.1007/978-3-642-32378-2_20]

* [https://elib.dlr.de/86013 https://elib.dlr.de/86013],
: [https://link.springer.com/chapter/10.1007%2F978-3-642-32378-2_20 https://link.springer.com/chapter/10.1007%2F978-3-642-32378-2_20],
: [https://rd.springer.com/chapter/10.1007/978-3-642-32378-2_20 https://rd.springer.com/chapter/10.1007/978-3-642-32378-2_20],
: [https://academic.microsoft.com/#/detail/1525684826 https://academic.microsoft.com/#/detail/1525684826]

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Gerdes et al 2012a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 945073970 to Gerdes et al 2012a

Scipediacontent: Created page with " == Abstract == The demand for increasing airport capacity combined with many constraints as well as the complexity of the data itself leads to the use of heuristic methods f..."