FORMALIZATION OF SELECTIVE TECHNOLOGY OF INFRASTRUCTURE MAINTENANCE AND SAFETY FUND
- Р Р‡.МессенРТвЂВВВВВВВВжер
- РћРТвЂВВВВВВВВнокласснРСвЂВВВВВВВВРєРСвЂВВВВВВВВ
- LiveJournal
- Telegram
- ВКонтакте
- РЎРєРѕРїРСвЂВВВВВВВВровать ссылку
Full Text:
Abstract
Any failure of technical means or abnormal operation situation reduces the intensity of rail traffic, significantly affects economic and operational performance of the transport market actors. In recent years, these complex processes have additionally been affected by threats caused by adverse changes in the economy and irregularities in the organization of transportation [1, 2]. So it is necessary to move from a traditional (situational) technology to a new one, «preventive», which is determined by means of monitoring and diagnostics based on a missed freight turnover and structural features of the track superstructure. The objective of the authors is to investigate a selective technology of repair and maintenance of the track superstructure.
The proposed technology is called selective because it is focused on repair of infrastructure on the fact (optionally, selectively). Selection implies the existence of an insurance or safety fund, which performs two functions: it collects payments with varying frequency to perform various types of repair work, and then as needed pays for these works. Cash flows related to the insurance fund, are structured and designed for a specific frequency of use, and the state of the fund itself is described by a random process of risk. Assessment of technological risk indicators and measures of reliability is given by simulation.
Keywords
About the Authors
Yu. M. KrakovskyRussian Federation
D. Sc. (Eng.), professor at the department of information systems and information security
V. A. Nachigin
Russian Federation
Ph.D. (Eng.), head of technical service
References
1. Frolov V. F. Novye podkhody k upravleniyu perevozochnym protsessom v usloviyakh dinamichnogo izmeneniya vneshnei sredy // Zheleznodorozhnyi transport. - 2014. - № 4. - S. 14-18. Frolov, V. F. New approaches to the management of the transportation process in the dynamically changing environment [Novye podhody k upravleniyu perevozochnym protsessom v usloviyah dinamichnogo izmeneniya vneshney sredy]. Zheleznodorozhnyj transport, 2014, Iss.4, pp. 14-18.
2. Krakovskii Yu. M., Nachigin A. V. Otsenka faktorov, vliyayushchikh na vozniknovenie transportnykh proisshestvii // Put' i putevoe khozyaistvo. - 2011. - № 11. - S. 2-4. Krakovsky, Yu.M., Nachigin, A. V. Evaluation of factors affecting the occurrence of accidents [Otsenka faktorov, vliyayuschih na vozniknovenie transportnyh proisshestviy]. Put’ i putevoe hozyaystvo, 2011, Iss.11, pp. 2-4.
3. Korolev V. Yu., Bening V. E., Shorgin S. Ya. Matematicheskie osnovy teorii riska. - M.: Fizmatlit, 2011. - 620 s. Korolev, V. Yu., Bening, V.E., Shorgin, S. Ya. Mathematical foundations of the theory of risk [Matematicheskie osnovy teorii riska]. Moscow, Fizmatlit publ., 2011, 620 p.
4. Krakovskii Yu. M., Luk'yanov D. A., Nachigin A. V. Issledovanie pokazatelei dinamicheskikh riskov, kharakterizuyushchikh bezopasnost' dvizheniya na transporte // Sovremennye tekhnologii. Sistemnyi analiz. Modelirovanie. - 2013. - № 3. - S. 299-304. Krakovskiy, Yu.M., Luk’yanov, D.A., Nachigin, A. V. Study of dynamic risks indicators, characterizing traffic safety on transport [Issledovanie pokazateley dinamicheskih riskov, harakterizuyuschih bezopasnost’ dvizheniya na transporte]. Sovremennye tehnologii. Sistemnyj analiz. Modelirovanie, 2013, Iss.3, pp 299-304.
5. Kel'ton V. Imitatsionnoe modelirovanie: Per. s angl - SPb.: Piter, 2004. - 847 s. Kelton, W. D. Simulation modeling and analysis [Translated form English. Russian title: Imitatsionnoe modelirovanie]. St. Petersburg, Piter publ., 2004, 847 p.
6. Krakovskii Yu. M., Dombrovskii I. A. Veroyatnostnyi analiz bezubytochnosti gruzovykh perevozok na osnove metoda Monte-Karlo // Izvestiya Transsiba. - 2013. - № 1. - S. 125-130. Krakovsky, Yu.M., Dombrovsky, I. A. Probabilistic analysis of breakeven freight transportation on the basis of Monte Carlo method [Veroyatnostnyj analiz bezubytochnosti gruzovyh perevozok na osnove metoda Monte-Karlo]. Izvestiya Transsiba, 2013, Iss.1, pp. 125-130.
7. Zaks L. Statisticheskoe otsenivanie. - M.: Statistika. - 1976. - 598 s. Zaks, L. Statistical estimation [Statisticheskoe otsenivanie]. Moscow, Statistika publ., 1976, 598 p.
8. Krakovskii Yu. M., Luk'yanov D. A., Nachigin A. V. Avtomatizirovannyi raschet pokazatelei dinamicheskikh riskov pri nalichii otkazov tekhnicheskikh sredstv // Izvestiya Transsiba. - 2013. - № 4. - S. 84-88. Krakovsky, Yu.M., Lukianov, D.A., Nachigin, A. V. Automated calculation of indicators of dynamic risks in the presence of technical means failures [Avtomatizirovannyj raschet pokazateley dinamicheskih riskov pri nalichii otkazov tehnicheskih sredstv]. Izvestiya Transsiba, 2013, Iss.4, pp. 84-88.
Review
For citations:
Krakovsky Yu.M., Nachigin V.A. FORMALIZATION OF SELECTIVE TECHNOLOGY OF INFRASTRUCTURE MAINTENANCE AND SAFETY FUND. World of Transport and Transportation. 2015;13(1 (56)):94-99.