SHS Web Conf.
Volume 67, 2019Fifteenth Scientific and Practical International Conference “International Transport Infrastructure, Industrial Centers and Corporate Logistics” (NTI-UkrSURT 2019)
|Number of page(s)||6|
|Section||Logistics Technologies at Transport and Industry Enterprises|
|Published online||15 October 2019|
Modeling and forecasting of cargo turnover at the railways of the Russian Federation according to statistics data
1 Saint Petersburg State Transport University,
2 Pskov State University, Pskov, Russia
1 Corresponding author: firstname.lastname@example.org
The approach of modeling and forecasting of cargo turnover of transport is described. Based on statistical information on the transport activities of the Russian railway, a study of the dependence of the autocorrelation coefficients was conducted and a trend in the change in cargo turnover was established. The quality of the trend was evaluated and the point and interval forecasting of cargo turnover was carried out.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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