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UDC 637.125
Statistical characteristics of information flows of train arrivals to the Chelyabinsk Major railroad yard
Vyacheslav Sergeevich Zhabreev, doctor of engineering, professor, Honored Worker of university, The Head of Department of “Computer technology” CHIRT-USURT, Russian Federation, zhabr@rambler.ru
Vyacheslav Evgenjevich Ignatov, Postgraduate student USURT of “Computer technology” CHIRT, Russian Federation, ignatov-ve@mail.ru
Abstract
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.
Keywords
statistic analysis, railway traffic, arrival time, human factor, to predict, Poisson's distribution
References
1. Pravitel'stvo Rossijskoj Federacii. Postanovlenie. Strategiya razvitiya zheleznodorozhnogo transporta do 2030 goda № 877-r ot 17.06.2008 g.
2. Iskhodnye dannye dlya statisticheskogo analiza i prognozirovaniya / S.A. Ajvazyan, O.YA. Balkind, T.D. Basnina i dr.; pod red. G.B. Klejnera. – http://www.aup.ru/books/m71/pril1_1.htm (data obrashcheniya 20.10.2011).
3. Polozhincev, B.I. Teoriya veroyatnostej i matematicheskaya statistika. Vvedenie v matematicheskuyu statistiku: ucheb. posobie / B.I. Polozhincev. – SPb.: Izd-vo Politekhn. un-ta, 2010. – 95 s.
Source
Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control, Radio Electronics, 2012, iss. 15, no. 3 (262), pp. 63-67. (in Russ.) (The main)