Communications - Scientific Letters of the University of Zilina 2022, 24(2):E87-E95 | DOI: 10.26552/com.C.2022.2.E87-E95
Assessment of Reliability of the Transport Information Systems
- Department of Computing Systems, Networks and Information Security, Russian University of Transport (RUT - MIIT), Moscow, Russia
In this paper is given the definition of e reliability of a transport information system, with features of transport information systems listed. Equations for calculating reliability indicators are given, as well. The developed hierarchical graph model for assessing the reliability of transport information systems and an algorithm for analyzing the graph model, which allows taking into account the specifics of the reliability of the operation of system elements at different levels of the hierarchy, are presented. Using the graph model and the graph model analysis algorithm, it is possible to reasonably predict the strategy for the creation and development of transport information systems.
Keywords: transport information system, reliability, element, hierarchical graph model of reliability assessment, reliability indicators
Received: May 21, 2021; Accepted: November 4, 2021; Prepublished online: January 24, 2022; Published: April 1, 2022 Show citation
ACS | AIP | APA | ASA | Harvard | Chicago | Chicago Notes | IEEE | ISO690 | MLA | NLM | Turabian | Vancouver |
References
- International standard ISO/IEC 2382:2015. Information technology - Vocabulary [online] [accessed 2021-05-04]. Available from: https://www.iso.org/standard/63598.html
- National standard of the Russian Federation GOST 27.015-2019 (IEC 60300-3-15: 2009). Reliability in technology. Reliability management. Systems Reliability Design Guidelines [online] [accessed 2021-05-04]. Available from: https://docs.cntd.ru/document/1200169980
- SAFONOVA, I., ZHELENKOV, B., GOLDOVSKY, Y., DMITRIEVA, E. Formation and optimization of transport networks in the conditions of the digital integral environment for transportation. Communications - ScientificLetters of the University of Zilina [online]. 2020, 22(2), p. 115-122 [accessed 2021-05-04]. ISSN 1335-4205, eISSN 2585-7878. Available from: https://doi.org/10.26552/com.C.2020.2.115-122
Go to original source...
- KURGANOV, V, GRYAZNOV, M., DOROFEEV, A. Information support reliability of transportation systems in the industry. In: 7th International Conference on Information Communication and Management ICICM 2017: proceedings [online] [accessed 2021-06-21. 2017. p. 162-167. Available from: https://doi.org/10.1145/3134383.3134399
Go to original source...
- ILHAM, R., SHONHADJI, N., YUTANTO, H., EKANINGTYAS, D. Analysis of the acceptance factor of android-based parking information systems in Indonesia. Communications - Scientific Letters of the University of Zilina [online]. 2020, 22(2), p. 97-106 [accessed 2021-05-04]. ISSN 1335-4205, eISSN 2585-7878. Available from: https://doi.org/10.26552/com.C.2020.2.97-106
Go to original source...
- HRUZA, P. Resilience and protection of critical information infrastructure resilience and protection of critical information infrastructure. Communications - Scientific Letters of the University of Zilina [online]. 2018, 20(2), p. 110-114 [accessed 2021-05-04]. ISSN 1335-4205, eISSN 2585-7878. Available from: https://doi.org/10.26552/com.C.2018.2.110-114
Go to original source...
- KONESEV S., KHAZIEVA R. Methods for assessing reliability indicators of complex components and systems. Modern Problems of Science and Education [online]. 2015, 1(1), p. 1 [accessed 2021-05-01]. ISSN 2070-7428. Available from: http://science-education.ru/ru/article/view?id=17558
- ANDREEV, A., YAKOVLEV, V., SHORT, T. Theoretical foundations of the reliability of technical systems. Saint-Petersburg: Publishing house of Polytechnic University, 2018. ISBN 978-5-7422-4550-6.
- PLAKSIN, M. Mills model. Testing and debugging of programs for future and present professionals. 2 ed. Moscow: Binom, 2013. ISBN 0879695773.
- PHAM, H. Mills' error seeding model. System software reliability. London: Springer, Springer Series in Reliability Engineering, 2006. ISBN 978-1-85233-950-0.
Go to original source...
- LAVRISCHEVA, E., PAKULIN, N., RYZHOV, A., ZELENOV, S. Analysis of methods for assessing the reliability of equipment and systems. Practice of methods. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS) [online]. 2018, 30(3), p. 99-120 [accessed 2016-10-03]. ISSN 2220-6426. Available from: https://doi.org/10.15514/ISPRAS-2018-30(3)-8
Go to original source...
- GELMAN, A., CARLIN, J. B., STERN, H. S., DUNSON, D. B., VEHTAR, A. I, RUBIN, B. Bayesian data analysis. 3. ed. USA: Chapman and Hall/CRC, 2013. ISBN 978-1-4398-4095-5.
- GMURMAN, V., Probability theory and mathematical statistics. 12. ed. Moscow: Yurayt, 2015. ISBN 978-5-9916-6041-9.
- ZHU, X. Importance measures in reliability, risk, and optimization: principles and application s[online] [accessed 2021-06-18]. Chichester, UK: John Wiley and Sons, Ltd, 2012. ISBN 9781118314593. Available from: https://doi.org/10.1002/9781118314593
Go to original source...
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.