
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.
Представлены результаты статистического анализа разности между зарегистрированным и фактическим временами прибытия состава поезда на сортировочную станцию Челябинск-Главный, распределенные по закону Пуассона. Включение статистических методов в процесс принятия решений по поездообразованию позволит повысить достоверность прогноза в заданном интервале путем минимизации влияния человеческого фактора.
СТАТИСТИЧЕСКИЙ АНАЛИЗ, ПЕРЕВОЗОЧНЫЙ ПРОЦЕСС, ВРЕМЯ ПРИБЫТИЯ, ЧЕЛОВЕЧЕСКИЙ ФАКТОР, ПРОГНОЗИРОВАТЬ, РАСПРЕДЕЛЕНИЕ ПУАССОНА, POISSON''S DISTRIBUTION
СТАТИСТИЧЕСКИЙ АНАЛИЗ, ПЕРЕВОЗОЧНЫЙ ПРОЦЕСС, ВРЕМЯ ПРИБЫТИЯ, ЧЕЛОВЕЧЕСКИЙ ФАКТОР, ПРОГНОЗИРОВАТЬ, РАСПРЕДЕЛЕНИЕ ПУАССОНА, POISSON''S DISTRIBUTION
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