Articles

Multi-criteria evaluation of professional qualities of railway dispatching personnel using computer simulations

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Authors:


A.Ursarova, orcid.org/0000-0002-2879-8857, Academy of Logistics and Transport, Almaty, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

R.Mussaliyeva, orcid.org/0000-0001-8867-9932, Academy of Logistics and Transport, Almaty, the Republic of Kazakhstan, -mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

B.Mussabayev, orcid.org/0000-0002-1794-7554, Academy of Logistics and Transport, Almaty, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

D.Kozachenko, orcid.org/0000-0003-2611-1350, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

R.Vernyhora, orcid.org/0000-0001-7618-4617, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (2): 141 - 147

https://doi.org/10.33271/nvngu/2022-2/141



Abstract:



Purpose.
Development of a formal method to evaluate professional training of operating and dispatching personnel of railway stations.


Methodology.
Simulation approaches to generate performance indicators of a human dispatcher under the specified operational conditions are selected as well as techniques of cluster and discriminant analysis to evaluate the obtained results.


Findings
human factor is one of the main factors determining the performance of technical systems in general and the efficiency of a railway transportation system in particular. Analysis of the transport accident causes demonstrates that from 63 to 95 % of them are related to some extent to a human factor. In this regard, a problem of objective assessment of dispatching staff training quality and its effect on the indices of railway transportation functioning, including the operation safety is reflected in this article. Based on investigations carried out and the results obtained the operator training simulator of railway station was developed.


Originality.
A simulator is improved of the railway station functioning while using deterministic finite automat formalizing the procedures. The proposed approach helps simulate processes taking place at the railway stations and resulting from the correct actions by operators as well as the incorrect ones. In addition, the paper proposes the improved method to evaluate professional training of station operators based upon the cluster and discriminant analysis providing HF impact minimization in the process of the problem solving.


Practical value.
The approaches have been proposed to apply while developing training equipment for station operators. On the one hand, formal methods of cluster and discriminant analysis help provide human participation in the evaluation of professional training of station operators at the stage of training sample formation to be analysed. On the other hand, they make it possible to identify the trainee affiliation with a group of the defined training level and prevent from HF impact while evaluating training results of certain applicants.



Keywords:
railway transport, traffic safety, human factor, professional selection, training facilities, simulation modelling

References.


1. Kozachenko, D.R., Vernigora, R., Balanov, V.N., Berezovy, N., Yelnikova, L., & Germanyuk, Y. (2014). Evaluation of the Transition to the Organization of Freight Trains Traffic by the Schedule. Transport Problems, 11(1), 41-48. https://doi.org/10.20858/tp.2016.11.1.4.

2. Taran, I.A., & Klimenko, I.Yu. (2014). Transfer ratio of double-split transmissions in case of planetary gear input. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (6), 60-66.

3. Naumov, V., Taran, I., Litvinova, Z., & Bauer, M. (2020). Optimizing resources of multimodal transport terminal for material flow service. Sustainability (Switzerland), 12(16), 6545. https://doi.org/10.3390/su12166545.

4. Samorodov, V., Bondarenko, A., Taran, I., & Klymenko, I. (2020). Power flows in a hydrostatic-mechanical transmission of a mining locomotive during the braking process. Transport Problems, 15(3), 17-28. https://doi.org/10.21307/tp-2020-030.

5. Derksen, M. (2014). Turning men into machines? Scientific management, industrial psychology, and the human factor. Journal of the History of the Behavioral Sciences, 50(2), 148-165. https://doi.org/10.1002/jhbs.21650.

6. GOST 26387-84 Man-machine system. Terms and Definitions (n.d.). Retrieved from http://helpnik.college.ks.ua/standart/gost/Catalog/Index/1/1563.htm.

7. Evans, A.W. (2010). Fatal train accidents on Europes railways: 19802009. Accident Analysis and Prevention, 43, 391-401. https://doi.org/10.1016/j.aap.2010.09.009.

8. Tokmurzina-Kobernyak, N., Vakhitova, L., & Ursarova, A. (2020). To the question of ensuring traffic safety by railway transport. Bulletin of KazATC, 4(115), 137-144. Retrieved from https://vestnik.alt.edu.kz/index.php/journal/issue/view/1/1.

9. Di Grazia, G., Vittorini, B., Carlizza, L., Lamedica, R., & Fabbri,G. (2014). Human factor relevance in safety assurance of railway operations. 2014 AEIT Annual Conference From Research to Industry: The Need for a More Effective Technology Transfer (AEIT), 1-6. https:// doi: 10.1109/AEIT.2014.7002059.

10. Wang, Y., Zheng, W., Dong, H., & Gao, P. (2020). Factors correlation mining on railway accidents using association rule learning algorithm. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, 1-6. https://doi.org/10.1109/ITSC45102.2020.9294317.

11. Vorobyov, V., Manakov, A., & Repina, I. (2018). Economic assessment of the control of human factor impact on faults of technical facilities in railway-transport technological processes. MATEC Web Conf. Siberian Transport Forum TransSiberia 2018, 239. https://doi.org/10.1051/matecconf/201823908011.

12. Samsonkin, V., & Goretskyi, O. (2020). Control Technology of Railway Traffic Safety: A System Approach and Digitalization. TRANSBALTICA XI: Transportation Science and Technology. TRANSBALTICA 2021. Lecture Notes in Intelligent Transportation and Infrastructure. Cham: Springer. https://doi.org/10.1007/978-3-030-38666-5_66.

13. Zavyalov, ., Aksenov, V., Siniakina, I., Volkova, ., & Gulyaev,. (2019). Analysis of the Human Factor Influence on the Quality of Work of Railway Station. IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2019, 2311-2316. https://doi.org/10.1109/EIConRus.2019.8657229.

14. Kozachenko, D.N., Verlan, A.I., & Korobiova, R.H. (2021). Development of Analytical Methods for Calculating Time Standards for Shunting Operations. Science and transport progress, 1(91), 51-64. https://doi.org/10.15802/stp2021/228097.

15. Kyriakidis, M., Majumdar, A., & Ochieng, W. Y. (2018). The human performance railway operational index a novel approach to assess human performance for railway operations. Reliability Engineering & System Safety, 170, 226-243. https://doi.org/10.1016/j.ress.2017.10.012.

16. Boudnaya, J., Mkhida, A., & Idrissi, B. B. (2015). Dependability Assessment of the Railway Signalling Systems Based on the Stochastic Petri Nets Analysis. International Journal of Intelligent Systems and Applications in Engineering, 3(2), 90-96. Retrieved from https://www.ijisae.org/IJISAE/article/view/547.

17. Shalyagin, D., & Nichiporuk, V. (2012). Simulation of the work of a human operator of a train traffic control system. Nauka i tehnika transporta, (2), 16-21.

18. Ferlin, A., Qiu, S., Bon, P., Sallak, M., Dutilleul, S.C., Schon,W., & Cherfi-Boulange, Z. (2018). An Automated Method for the Study of Human Reliability in Railway Supervision Systems. EEE Transactions on Intelligent Transportation Systems, 19(10), 3360-3375. https://doi.org/10.1109/TITS.2017.2779565.

19. Kyrychenko, H., Berdnychenko, Yu., Strelko, O., & Shcherbyna,R. (2021). Application of the Automated System at the Change of Technology of Work of Reference Stations on the Railway (2021). Proceedings of 25th International Scientific Conference. Transport Means 2021. Retrieved from https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-Means-2021-Part-II.pdf.

20. Sabraliev, N., Abzhapbarova, A., Nugymanova, G., Taran, I., & Zhanbirov, Z. (2019). Modern aspects of modeling of transport routes in Kazakhstan. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences, 2(434), 62-68. https://doi.org/10.32014/2019.2518-170X.39.

21. Bobrovskiy, V.I., Kozachenko, D.N., & Vernygora, R.V. (2014). Functional simulation of railway stations on the basis of finite-state automata. Transport Problems, 9(3), 57-66. Retrieved from http://transportproblems.polsl.pl/pl/Archiwum/2014/zeszyt3/2014t9z3_06.pdf.

 

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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