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International Scientific Siberian Transport Forum

TransSiberia 2019: VIII International Scientific Siberian Transport Forum pp 184–194Cite as

Assessment of the Mitigation of Consequences Resulting from Incidents at the Railway

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1115))

Abstract

The article presents materials on the development of a method for determining the estimated time of the train start and minimization the time required to mitigation of consequences resulting from incidents (crash, accidents, rolling stock derailment, equipment failure) on the railways of the JSCo “RZD”. The method is aimed at establishing the minimal level of the reduced time spent on repairs of the railway track and infrastructure in order to determine the estimated time when the train circulation is restored and minimizing the time required to mitigation of consequences resulting from incidents under operation management.

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References

  1. Santos-Reyes, J., Beard, A.N.: A systemic analysis of the Edge Hill railway accident. Accid. Anal. Prev. 41(6), 1133–1144 (2009)

    Article  Google Scholar 

  2. Debois, S., Hildebrandt, T., Sandberg, L.: Experience report: constraint-based modelling and simulation of railway emergency response plans. Proc. Comput. Sci. 83, 1295–1300 (2016)

    Article  Google Scholar 

  3. Cacciabue, P.C.: Human error risk management methodology for safety audit of a large railway organisation. Appl. Ergon. 36(6), 709–718 (2005)

    Article  Google Scholar 

  4. Schipper, D., Gerrits, L.: Differences and similarities in European railway disruption management practices. J. Rail Transp. Plann. Manag. 8(1), 42–55 (2018)

    Article  Google Scholar 

  5. Cheng, Y.H., Liang, Z.X.: A strategic planning model for the railway system accident rescue problem. Transp. Res. Part E: Logist. Transp. Rev. 69, 75–96 (2014)

    Article  Google Scholar 

  6. Lam, C.Y., Tai, K.: Network topological approach to modeling accident causations and characteristics. Analysis of railway incidents in Japan. Reliab. Eng. Syst. Saf. 193 (2020). Article 106626

    Article  Google Scholar 

  7. Xu, J., Tang, Z., Yuan, X.: A VR-based the emergency rescue training system of railway accident. Entertain. Comput. 27, 23–31 (2018). https://doi.org/10.1016/j.entcom.2018.03.002

    Article  Google Scholar 

  8. Wang, D., Zhang, T.: Engineering accidents in society: a comparison of Chinese and American railway accident investigation. Technol. Soc. 43, 69–74 (2015)

    Article  Google Scholar 

  9. Ouyang, M., Hong, L., Yu, M.H., Fe, Q.: STAMP-based analysis on the railway accident and accident spreading: taking the China-Jiaoji railway accident for example. Saf. Sci. 48(5), 544–555 (2010)

    Article  Google Scholar 

  10. Bababeik, M., Khademi, N., Chen, A.: Increasing the resilience level of a vulnerable rail network: the strategy of location and allocation of emergency relief trains. Transp. Res. Part E: Logist. Transp. Rev. 119, 110–128 (2018)

    Article  Google Scholar 

  11. Li, C., Tang, T., Chatzimichailidou, M.M., Jun, G.T., Waterson, P.: A hybrid human and organisational analysis method for railway accidents based on STAMP-HFACS and human information processing. Appl. Ergon. 79, 122–142 (2019)

    Article  Google Scholar 

  12. Khademi, N., Babaei, M., Schmöcker, J.D., Fani, A.: Analysis of incident costs in a vulnerable sparse rail network – description and Iran case study. Res. Transp. Econ. 70, 9–27 (2018)

    Article  Google Scholar 

  13. Li, K., Wang, S.: A network accident causation model for monitoring railway safety. Saf. Sci. 109, 398–402 (2018)

    Article  Google Scholar 

  14. Sañudo, R., Moura, J.L., Ibeas, A.: Decision making system for stopping high speed trains during emergency situations. Proc. – Soc. Behav. Sci. 162, 429–438 (2014)

    Article  Google Scholar 

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Authors and Affiliations

  1. Russian University of Transport (MIIT), Obraztsova Street 9/9, Moscow, 127994, Russia

    Nikolay Kovalenko, Valentin Ponomarev, Nina Kovalenko, Nadezhda Fomina & Aleksandr Kovalenko

Authors
  1. Nikolay Kovalenko
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  2. Valentin Ponomarev
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  3. Nina Kovalenko
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  4. Nadezhda Fomina
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  5. Aleksandr Kovalenko
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Corresponding author

Correspondence to Nikolay Kovalenko .

Editor information

Editors and Affiliations

  1. Department of Roads, Airports and Railways, University of Belgrade, Belgrade, Serbia

    Zdenka Popovic

  2. Siberian Transport University, Novosibirsk, Russia

    Aleksey Manakov

  3. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Vera Breskich

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Kovalenko, N., Ponomarev, V., Kovalenko, N., Fomina, N., Kovalenko, A. (2020). Assessment of the Mitigation of Consequences Resulting from Incidents at the Railway. In: Popovic, Z., Manakov, A., Breskich, V. (eds) VIII International Scientific Siberian Transport Forum. TransSiberia 2019. Advances in Intelligent Systems and Computing, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-030-37916-2_20

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  • DOI: https://doi.org/10.1007/978-3-030-37916-2_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37915-5

  • Online ISBN: 978-3-030-37916-2

  • eBook Packages: EngineeringEngineering (R0)

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