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In this paper we have developed a methodology for the medium-term prediction of daily volumes of passenger traffic in the Moscow metro. It includes three options for the forecast: (1)… Click to show full abstract
In this paper we have developed a methodology for the medium-term prediction of daily volumes of passenger traffic in the Moscow metro. It includes three options for the forecast: (1) based on artificial neural networks (ANNs), (2) singular-spectral analysis implemented in the Caterpillar–SSA package, and (3) a combination of the ANN and Caterpillar–SSA approaches. The methods and algorithms allow the mediumterm forecasting of passenger traffic flows in the Moscow metro with reasonable accuracy.
Keywords:
passenger traffic;
forecasting daily;
moscow metro;
daily passenger
Journal Title: Physics of Particles and Nuclei Letters
Year Published: 2018
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Journal Title: Physics of Particles and Nuclei Letters
Year Published: 2018
Link to full text (if available)
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recommendations!