Scipediacontent: Scipediacontent moved page Draft Content 966799970 to 238,295ng

2021-03-23T01:18:44Z

Scipediacontent moved page Draft Content 966799970 to 238,295ng

Scipediacontent: Created page with " == Abstract == The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airli..."

2021-03-23T01:17:11Z

Created page with " == Abstract == The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airli..."

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== Abstract ==

The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airline companies. In this context, accurate and adequate short-term air traffic forecasting is essential for the operations of those entities. In consideration of such a problem, a hybrid air traffic forecasting model based on empirical mode decomposition (EMD) and seasonal auto regressive integrated moving average (SARIMA) has been proposed in this paper. The model proposed decomposes the original time series into components at first, and models each component with the SARIMA forecasting model, then integrates all the models together to form the final combined forecast result. By using the monthly air cargo and passenger flow data from the years 2006 to 2014 available at the official website of the Civil Aviation Administration of China (CAAC), the effectiveness in forecasting of the model proposed has been demonstrated, and by a horizontal performance comparison between several other widely used forecasting models, the advantage of the proposed model has also been proved.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_966799970-beopen1371-2322-document.pdf</pdf>

== Original document ==

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

* [https://www.mdpi.com/1999-4893/10/4/139/pdf https://www.mdpi.com/1999-4893/10/4/139/pdf] under the license https://creativecommons.org/licenses/by

* [http://www.mdpi.com/1999-4893/10/4/139/pdf http://www.mdpi.com/1999-4893/10/4/139/pdf],
: [http://dx.doi.org/10.3390/a10040139 http://dx.doi.org/10.3390/a10040139] under the license cc-by

* [https://dblp.uni-trier.de/db/journals/algorithms/algorithms10.html#NaiLWD17 https://dblp.uni-trier.de/db/journals/algorithms/algorithms10.html#NaiLWD17],
: [https://www.mdpi.com/1999-4893/10/4/139 https://www.mdpi.com/1999-4893/10/4/139],
: [https://www.mdpi.com/1999-4893/10/4/139/pdf https://www.mdpi.com/1999-4893/10/4/139/pdf],
: [https://core.ac.uk/display/145077738 https://core.ac.uk/display/145077738],
: [https://academic.microsoft.com/#/detail/2772137310 https://academic.microsoft.com/#/detail/2772137310] under the license https://creativecommons.org/licenses/by/4.0/

* [https://www.mdpi.com/1999-4893/10/4/139 https://www.mdpi.com/1999-4893/10/4/139],
: [https://doaj.org/toc/1999-4893 https://doaj.org/toc/1999-4893]

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Scipediacontent: Scipediacontent moved page Draft Content 966799970 to 238,295ng

Scipediacontent: Created page with " == Abstract == The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airli..."