Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro
In this paper, we investigate the possibility of applying various approaches to solving the problem of medium-term forecasting of daily passenger traffic volumes in the Moscow metro (MM): 1) on the basis of artificial neural networks (ANN); 2) using the singular-spectral analysis implemented in the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://doi.org/10.1051/epjconf/201817305009 |
| _version_ | 1818655205995053056 |
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| author | Ivanov Victor Osetrov Evgenii |
| author_facet | Ivanov Victor Osetrov Evgenii |
| author_sort | Ivanov Victor |
| collection | DOAJ |
| description | In this paper, we investigate the possibility of applying various approaches to solving the problem of medium-term forecasting of daily passenger traffic volumes in the Moscow metro (MM): 1) on the basis of artificial neural networks (ANN); 2) using the singular-spectral analysis implemented in the package “Caterpillar”-SSA; 3) sharing the ANN and the “Caterpillar”-SSA approach. We demonstrate that the developed methods and algorithms allow us to conduct medium-term forecasting of passenger traffic in the MM with reasonable accuracy. |
| first_indexed | 2024-12-17T03:06:00Z |
| format | Article |
| id | doaj.art-b8a5e8bc7c97457bbca6c4a5e88da963 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-17T03:06:00Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-b8a5e8bc7c97457bbca6c4a5e88da9632022-12-21T22:05:57ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011730500910.1051/epjconf/201817305009epjconf_mmcp2018_05009Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow MetroIvanov VictorOsetrov EvgeniiIn this paper, we investigate the possibility of applying various approaches to solving the problem of medium-term forecasting of daily passenger traffic volumes in the Moscow metro (MM): 1) on the basis of artificial neural networks (ANN); 2) using the singular-spectral analysis implemented in the package “Caterpillar”-SSA; 3) sharing the ANN and the “Caterpillar”-SSA approach. We demonstrate that the developed methods and algorithms allow us to conduct medium-term forecasting of passenger traffic in the MM with reasonable accuracy.https://doi.org/10.1051/epjconf/201817305009 |
| spellingShingle | Ivanov Victor Osetrov Evgenii Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro EPJ Web of Conferences |
| title | Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro |
| title_full | Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro |
| title_fullStr | Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro |
| title_full_unstemmed | Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro |
| title_short | Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro |
| title_sort | application of artificial neural networks and singular spectral analysis in forecasting the daily traffic in the moscow metro |
| url | https://doi.org/10.1051/epjconf/201817305009 |
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