Analysis of the Process of Merging Air Traffic Streams. Case Study of TMA Warsaw
Anna Kwasiborska , Jacek Skorupski
AbstractAir traffic in the terminal area is carried out in accordance with the defined procedures, in the case of landing aircraft − Standard Arrival Procedures (STAR). Due to the fact that aircraft arrive from different directions, and landings take place on one direction of the runway, it is necessary to merge all traffic streams in a single queue for landing. STAR procedures define merging points. Current traffic conditions and economic factors indicate the necessity of dynamic modification of these points. Available telematic means allow for the effective implementation of this task. The aim of this paper is to analyze the schemes of merging air traffic streams on the example of the terminal area TMA Warsaw. It is focused on the search for the impact of the selection of merging points on the quality of the landing queue. For modelling of the process of merging air traffic streams at TMA Warsaw we used coloured, hierarchical and priority Petri nets. The estimations of the time of landing sequence execution were obtained. This time is the basic pa-rameter of the landing queue evaluation. As a result of simulation tests, its dependence on the selection of streams merging points was identified. It has been found that the simplification of the merging procedure reduces the exe-cution time of the sequence of landings. In further stages of the research, it is planned to develop an algorithm for selecting such points that lead to obtain-ing an aircraft landing queue with the most favourable properties.
|Publication size in sheets||0.7|
|Book||Mikulski Jerzy (eds.): Management Perspective for Transport Telematics, Communications in Computer and Information Science, vol. 897, 2018, Springer International Publishing, ISBN 978-3-319-97954-0, [978-3-319-97955-7], DOI:10.1007/978-3-319-97955-7|
|Keywords in English||landing sequence, aircraft scheduling, Petri nets, air traffic control, merging points, traffic flow management|
|Score|| = 15.0, 11-03-2019, BookChapterSeriesAndMatConf|
= 15.0, 11-03-2019, BookChapterSeriesAndMatConf
|Publication indicators||: 2016 = 0.317|
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