Statistical characteristics of information flows of train arrivals to the Chelyabinsk Major railroad yard

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The findings of the statistic analysis differences between the registered and existent arrival times of the train set on the major railway yard Chelyabinsk, classified according to Poisson's law, are presented in the article. The interconnection of the statistic methods in the process of taking decisions on the train formation will allow to enlarge the reliability of prediction in the specified interval by means of minimizing the human factor's influence.

Statistic analysis, arrival time, human factor, to predict, poisson''s distribution, railway traffic

Короткий адрес: https://sciup.org/147155290

IDR: 147155290

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