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International Conference TRANSBALTICA: Transportation Science and Technology

TRANSBALTICA 2019: TRANSBALTICA XI: Transportation Science and Technology pp 610–621Cite as

The Model for Evaluating Criteria Describing the Internal Safety of a Railway Trip by International Train

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Abstract

The transport system must increase the mobility of the national population, gross domestic product (GDP) and remain environmentally friendly and safe. Rail transport is increasingly becoming popular for both long-distance freight and passengers. This trend is affected by an increase in safety travelling by train, which significantly improves the quality of the trip. The paper presents a mathematical model that allows calculating a share of the indicator for the quality of traveling by international train, which depends on the impact of criteria for internal safety in the carriage. The weights of eight sub-criteria for the main criteria falling into group D have been determined applying the Analytic Hierarchy Process (AHP) method, whereas their variables have been estimated using original formulas. The resolved numerical example admits that the introduced model is suitable and convenient to be employed in practice assessing the quality of the international train in a single number. The actual data on the international train Vilnius-Moscow indicating the adequacy of internal security measures have been used for the numerical example.

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References

  1. Alexandrou, G., Kouroussis, G., Verlinden, O.: A comprehensive prediction model for vehicle/track/soil dynamic response dueto wheel flats. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 230(4), 1088–1104 (2016). https://doi.org/10.1177/0954409715576015

    Article  Google Scholar 

  2. Zakeri, J.A., Esmaeili, M., Kasraei, A., Bakhtiary, A.: A numerical investigation on the lateral resistance of frictional sleepers in ballasted railway tracks. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 230(2), 440–449 (2016). https://doi.org/10.1177/0954409714543507

    Article  Google Scholar 

  3. Bureika, G., Komaisko, M., Jastremskas, V.: Modelling the ranking of Lithuanian railways level crossing by safety level. Transp. Probl. 12, 11–22 (2017). https://doi.org/10.20858/tp.2017.12.se.1

    Article  Google Scholar 

  4. Vileiniskis, M., Remenyte-Prescott, R., Rama, D.: A fault detection method for railway point systems. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(3), 852–865 (2016). https://doi.org/10.1177/0954409714567487

    Article  Google Scholar 

  5. Kuo, C.-M., Lin, C.-C.: Analysis of derailment criteria. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(4), 1158–1163 (2016). https://doi.org/10.1177/0954409715583692

    Article  Google Scholar 

  6. Osenin, Y.Iv, Degtyareva, L., Osenina, G., Sergienko, O., Chesnokov, A.: Using a wheel pair with a counter-flange to prevent derailment. Transp. Probl. Problemy Transportu 12(2), 13–18 (2017)

    Article  Google Scholar 

  7. Wu, X., Chi, M., Gao, H., Zhang, D., Zeng, J., Wu, P., Zhu, M.: The study of post-derailment measures to limiting the extent of a derailment. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(1), 64–76 (2016). https://doi.org/10.1177/0954409714526586

    Article  Google Scholar 

  8. Cheng, Y.-C., Hsu, C.-T.: Derailment safety analysis fora tilting railway vehicle moving on irregular tracks shaken by an earthquake. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(3), 625–642 (2016). 10.1177/0954409714553255

    Article  Google Scholar 

  9. Ataei, Sh, Mohammadzadeh, S., Jadidi, H., Miri, A.: Effects of maintenance operations on railway track’s mechanical behavior by field load testing. Int. J. Pavement Eng. 15(3–4), 215–227 (2014). https://doi.org/10.1080/10298436.2013.778991

    Article  Google Scholar 

  10. Paixão, A., Fortunato, E., Calçada, R.: A numerical study on the influence of backfill settlements in the train/track interaction at transition zones to railway bridges. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(3), 866–878 (2016). https://doi.org/10.1177/0954409715573289

    Article  Google Scholar 

  11. Lazarević, L., Vučković, D., Popović, Z.: Assessment of slepper support conditions using mikro-tremor analysis. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(8), 1828–1841 (2016). https://doi.org/10.1177/0954409715615629

    Article  Google Scholar 

  12. Luin, B., Petelin, S.: Impact of road geometry on vehicle energy consumption. Transp. Probl. Problemy Transportu 12(2), 77–87 (2017). https://doi.org/10.20858/tp.2017.12.28

    Article  Google Scholar 

  13. Xin, T., Famurewa, S.M., Gao, L., Kumar, U., Zhang, Q.: Grey-system-theory-based model for the prediction of track geometry quality. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(7), 1735–1744 (2016). https://doi.org/10.1177/0954409715610603

    Article  Google Scholar 

  14. Gailienė, I., Gedaminskas, M., Laurinavičius, A.: Approach to rational calculation of superelevation in dual gauge track. Transport 33(3), 699–706 (2018). https://doi.org/10.3846/transport.2018.1577

    Article  Google Scholar 

  15. Caetano, L.F., Texeira, P.F.: Predictive maintenance model for ballast tamping. J. Transp. Eng. 142(4), 04016006 (2016). https://doi.org/10.1061/(ASCE)TE.1943-5

    Article  Google Scholar 

  16. Jönsson, J., Arasteh Khouy, I., Lundberg, J., Rantatalo, M., Nissen, A.: Measurement of vertical geometry variations in railway turnouts exposed to different operating conditions. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(2), 486–501 (2016). https://doi.org/10.1177/0954409714546205

    Article  Google Scholar 

  17. Asplund, M., Palo, M., Famurewa, S., Rantatolo, M.: A study of railway wheel profile parameters used as indicators of an increased risk of wheel defects. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(2), 323–334 (2016). https://doi.org/10.1177/0954409714541953

    Article  Google Scholar 

  18. Uzzal, R.U.A., Ahmed, W., Bhat, R.B.: Impact analysis due to multiple wheel flats in three-dimensional railway vehicle-track system model and development of a smart wheels et. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(2), 450–471 (2016). https://doi.org/10.1177/0954409714545558

    Article  Google Scholar 

  19. Wang, K., Huang, C., Zhai, W., Liu, P., Wang, S.: Progress on wheel-rail dynamic performance of railway curve negotiation. J. Traffic Transp. Eng. 1(3), 209–220 (2014). https://doi.org/10.1016/S2095-7564(15)30104-5

    Article  Google Scholar 

  20. Moreno-Rios, M., Gallardo-Hernández, E.A., Vite-Torres, M., Peña-Bautista, A.: Field and laboratory assessments of the friction coefficient at a railhead. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(1), 313–320 (2016). https://doi.org/10.1177/0954409714536383

    Article  Google Scholar 

  21. Sobolevska, M., Telychko, I.: Passive safety of high-speed passenger trains at accident collisions on 1520 mm gauge railways. Transp. Probl. Problemy Transportu 12(1), 51–62 (2017). https://doi.org/10.20858/tp.2017.12.1.5

    Article  Google Scholar 

  22. Meran, A.P., Baykasoglu, C., Mugan, A., Toprak, T.: Development of a design for a crash energy management system for use in a railway passenger car. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(1), 206–219 (2016). https://doi.org/10.1177/0954409714533321

    Article  Google Scholar 

  23. Holloway, C., Thoreau, R., Roan, T.-R., Boampong, D., Clarke, T., Watts, D., Tyler, N.: Effect of vertical step height on boarding and alighting time of train passengers. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 230(4), 1234–1241 (2016). https://doi.org/10.1177/0954409715590480

    Article  Google Scholar 

  24. Gailienė, I., Skerys, K., Ciparytė, G.: Investigation traffic safety situation at the level crossings in Lithuania. Baltic J. Road Bridge Eng. 8(2), 117–123 (2013). https://doi.org/10.3846/bjrbe.2013.15

    Article  Google Scholar 

  25. Aleksić, D., Marković, M., Vasiljević, M., Stojić, G., Pavlović, N., Tanackov, I.: Analysis of impact of meteorogical conditions on human factors in estimating therisk of railway accidents. Transport 33(5), 1121–1134 (2018). https://doi.org/10.3846/16484142.2017.1332684

    Article  Google Scholar 

  26. Xue, X., Robinson, M., Schmid, F., Smith, R.: Development issues for impact safety of rail vehicles: robustness of crashworthy designs, effect of structural crashworthiness on passenger safety and behavior characterization of vehicle materials. Proc. Inst. Mech. Eng. Part F: J. Rail and Rapid Transit 232(2), 461–470 (2018). https://doi.org/10.1177/0954409716674982

    Article  Google Scholar 

  27. Chen, S., Leng, Y., Mao, B., Liu, S.: Integrated weight-based multi-criteria evaluation on transfer in large transport terminals: a case study of the Beijing South railway Station. Transp. Res. Part A: Pol. Pract. 66, 14–26 (2014). https://doi.org/10.1016/j.tra2014.04.015

    Article  Google Scholar 

  28. Dolinayova, A., Camaj, J., Kanis, J.: Charging railway infrastructure models and their impact to competitiveness of railway transport. Transp. Probl. Problemy Transportu 12(1), 139–150 (2017). https://doi.org/10.20858/tp.2017.12.13

    Article  Google Scholar 

  29. Potoglou, D., Rabinson, N., Kim, C.W., Burge, P., Warnes, R.: Quantifying individuals’ trade-offs between privacy, liberty and security. Transp. Res. Part A 44, 169–181 (2010). https://doi.org/10.1016/j.tra.2009.12.006

    Article  Google Scholar 

  30. Gulijk, C.V., Hughes, P., Figueres-Esteban, M., El-Rashidy, R., Bearfield, G.: The case for IT transformation and big data for safety risk management on the GB railways. Proc. Inst. Mech. Eng. Part O: J. Risk Reliab. 232(2), 151–163 (2018). https://doi.org/10.1177/1748006x17728210

    Article  Google Scholar 

  31. Havârneanu, G.M.: Behavioural and organizational interventions to prevent trespass and graffiti vandalism on railway property. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 231(10), 1078–1087 (2017). https://doi.org/10.1177/0954409716675004

    Article  Google Scholar 

  32. Crawford, E.G.C., Toft, Y., Kift, R.L.: New control room technologies: human factors analytical tools for railway safety. Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit 227(5), 529–538 (2013). https://doi.org/10.1177/0954409713501656

    Article  Google Scholar 

  33. Sivilevičius, H., Maskeliūnaitė, L.: Multiple criteria evaluation and the inverse hierarchy model for justifying the choise of rail transport mode. Promet Traffic Transp. 30(1), 57–69 (2018). https://doi.org/10.7307/ptt.v30i1.2417

    Article  Google Scholar 

  34. Maskeliunaite, L., Sivilevicius, H.: Applying AHP technique to the assessment of railway trip quality (RTQ). In: Čygas, D., Froehner, K.D. (eds.). Proceedings of the 8th International Conference “Environment Engineering”. Selected papers. May 19– 20 2011, vol. 3, pp. 1133–1141. Technika, Vilnius (2011). ISSN 2029-7106

    Google Scholar 

  35. Maskeliūnaitė, L., Sivilevičius, H.: Expert evaluation of criteria describing the quality of travelling by international passenger train: technological, economic and safety perspectives. Technol. Econ. Dev. Econ. 18(3), 544–566 (2012). https://doi.org/10.3846/20294913.2012.710178

    Article  Google Scholar 

  36. Sivilevičius, H., Maskeliūnaitė, L.: The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method. Transport 25(4), 368–381 (2010). https://doi.org/10.3846/transport.2010.46

    Article  Google Scholar 

  37. Maskeliūnaitė, L.: Tarptautinio keleivių vežimo geležinkeliais proceso kokybės tyrimo daugiatikslis modelis [The model for multicriteria evaluation of the quality of passenger transportation by international trains]: Doctoral dissertation. Vilnius Gediminas Technical University.: Technika, Vilnius (2012). 165 p. ISBN 978-609-457-361-3

    Google Scholar 

  38. Sivilevičius, H., Maskeliūnaitė, L.: The numerical example for evaluating the criteria describing the quality of the trip by international train. Ekonomie a Management E&M Econ. Manag. 2(17), 73–86 (2014). https://doi.org/10.15240/tul/001/2014-2-006

    Article  Google Scholar 

  39. Sivilevičius, H., Maskeliūnaitė, L., Petkevičienė, B., Petkevičius, K.: The model of evaluating the criteria, describing the quality of organization and technology of travel by international train. Transport 27(3), 307–319 (2012). https://doi.org/10.3846/16484142.2012.724448

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mobile Machinery and Railway Transport, Vilnius Gediminas Technical University, Plytinės 27, 10105, Vilnius, Lithuania

    Lijana Maskeliūnaitė & Henrikas Sivilevičius

Authors
  1. Lijana Maskeliūnaitė
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  2. Henrikas Sivilevičius
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Corresponding author

Correspondence to Lijana Maskeliūnaitė .

Editor information

Editors and Affiliations

  1. SRM University-AP, Amaravati, India

    Kasthurirangan Gopalakrishnan

  2. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Prentkovskis

  3. Transport and Telecommunication Institute, Riga, Latvia

    Irina Jackiva

  4. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Raimundas Junevičius

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Maskeliūnaitė, L., Sivilevičius, H. (2020). The Model for Evaluating Criteria Describing the Internal Safety of a Railway Trip by International Train. In: Gopalakrishnan, K., Prentkovskis, O., Jackiva, I., Junevičius, R. (eds) TRANSBALTICA XI: Transportation Science and Technology. TRANSBALTICA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-38666-5_64

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  • DOI: https://doi.org/10.1007/978-3-030-38666-5_64

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-38666-5

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