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Application of Artificial Neural Networks and Singular-Spectral Analysis in Forecasting the Daily Traffic in the Moscow Metro

Authors :
Evgenii Osetrov
Victor Ivanov
Source :
EPJ Web of Conferences, Vol 173, p 05009 (2018)
Publication Year :
2018
Publisher :
EDP Sciences, 2018.

Abstract

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.

Details

ISSN :
2100014X
Volume :
173
Database :
OpenAIRE
Journal :
EPJ Web of Conferences
Accession number :
edsair.doi.dedup.....d4b2b61f73a5e6bdd91e20acd3983a94