Abstract

Civil aviation air traffic undergoes many random disturbances. Air traffic controllers watch the real traffic and ensure that it is free from collision hazards in the whole airspace — the ATC sector — under their control. The ATFM service takes care that the flow capacity in each sector, called capacity of the air traffic sector, is not exceeded. In the paper an original method of model estimation of the capacity of the designed ATC sectors is described. In this method an experimentally established statistical relationship between the random variables of control load and the air traffic density is used. The capacity of a sector was found from the joint probability distribution of such a two-dimensional random variable model determined as a quanti le of adequate order. This method was verified in practice by determining the capacity of the designed new ATC sectors in FIR Warsaw.

Document type: Book

Full document

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document

Original document

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


DOIS: 10.5281/zenodo.1435680 10.1007/978-3-642-55582-4 10.1007/978-1-349-00210-8_2 10.1007/978-3-642-96812-9 10.1007/978-3-642-48417-9_8 10.1016/b0-12-227410-5/00513-5 10.1126/science.183.4130.1141-a 10.1057/978-1-349-95121-5_1370-1 10.1002/cpa.1955.3160080113 10.1007/978-3-322-94495-5 10.1007/1-4020-0611-x_24 10.1007/978-3-642-69331-1_8 10.1057/jors.1974.54 10.1016/b0-08-043076-7/01183-9 10.1016/b0-12-369398-5/00534-x 10.1081/e-epap2-278 10.1057/978-1-349-94848-2_792-1 10.2307/3008378 10.1201/9781315274188 10.1080/07293682.1983.9657071 10.1109/tsmc.1980.4308489 10.1201/9780367366070 10.1007/978-1-4612-0933-1_12 10.1007/978-3-322-95375-9_2 10.1007/978-3-663-19454-5 10.1109/iret-mil.1957.6870534 10.1002/3527600434.eap283 10.1007/978-3-663-12996-7_7 10.5281/zenodo.3634527 10.5281/zenodo.1435679 10.1007/978-0-387-74759-0_465 10.1201/9781315153223 10.1002/9781118445112.stat02627 10.1002/0471667196.ess1859 10.20968/rpm/2007/v5/i1/100991 10.1007/978-3-658-18394-3_2 10.1201/noe1420052756.ch278 10.1057/978-1-137-00772-8_792 10.1524/9783486855302 10.1007/978-3-322-93906-7 10.1007/978-3-7908-1795-9_6 10.1007/978-3-642-97249-2 10.1038/216903b0 10.5169/seals-66091 10.1002/9780470012505.tao005 10.1007/978-3-642-54368-5 10.1007/978-3-322-90191-0_2 10.1201/9781420050394.ptg1 10.1007/978-3-642-10326-1 10.1007/978-3-642-77162-0 10.3233/iks-2009-0152 10.5169/seals-84190 10.1007/978-3-642-97813-5 10.1057/978-1-349-95121-5_1370-2 10.24053/9783739803432 10.1038/222304c0 10.1002/0470011815.b2a4a029 10.1007/1-4020-0613-6_12890 10.3139/9783446455283.009 10.1007/0-306-48332-7_354 10.1007/978-3-642-96907-2 10.1038/scientificamerican0351-15 10.1177/0145482x5404800605 10.2307/2332986 10.4271/580217 10.1007/978-3-322-80047-3 10.15358/9783800650729 10.1057/9780230226203.3203 10.3139/9783446435742.009 10.1057/9781137294678.0482 10.5281/zenodo.3634526 10.1007/978-3-642-22624-3 10.1007/978-3-642-97888-3 10.1057/9780230226203.1221 10.1007/978-3-642-31054-6 10.1007/978-3-8348-9461-8 10.1081/e-epap3-120010810

Back to Top

Document information

Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5281/zenodo.1435680
Licence: CC BY-NC-SA license

Document Score

0

Views 3
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?