PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

An approach to technological equipment selection for measuring railway track geometry

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The most-used railway track geometry measurement systems are considered in this study. The advantages and disadvantages of considered systems and the necessity and application of these technologies in European railways were examined. The decisive factors of the operation of measurement equipment were considered. Real-time railway track condition monitoring systems were evaluated by 14 experts according to a scale of 13 criteria. Questionnaire data were processed using Kendall’s rank correlation method, and the mean ranks were normalized using the average rank transformation into weight method. The most relevant evaluation criteria describing the principles of operation and quality of the most promising technologies were defined. The most important criteria for assessing the suitability of technologies were determined by applying the technique for order of preference by similarity to ideal solution. Finally, basic conclusions and recommendations were formulated.
Czasopismo
Rocznik
Strony
127--136
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
  • Vilnius Gediminas Technical University, Department of Mobile Machinery and Railway Transport; Plytinės g. 25, LT-10105, Vilnius, Lithuania
Bibliografia
  • 1. Bracciali, A. & Cavaliere, F. & Macherelli, M. Review of Instrumented Wheelset Technology and Applications. Proceedings of the Second International Conference on Railway Technology. PStirlingshire, Scotland. 2014. No. 167. P. 1-16.
  • 2. Bureika, G. & Levinzon, M. & Dailydka, S. & Steišūnas, S. & Žygienė, R. Evaluation criteria of wheel/rail interaction measurement results by trackside control equipment. International journal of heavy vehicle systems. 2019. Vol. 26(6). P. 747-764.
  • 3. Bureika, G. & Vaičiūnas, G. & Shi, D. & Zanuy, A. C. Influence of track geometry condition monitoring on railway infrastructure maintenance processing. Transport Problem. 2022. Vol. 17(4). P. 211-220.
  • 4. Chakraborty, S. TOPSIS and Modified TOPSIS: A comparative analysis. Decision Analytics Journal. 2002. Vol. 2. No 100021. DOI: 10.1016/j.dajour.2021.100021.
  • 5. EN 13848. Railway applications - Track - Track geometry quality.
  • 6. EN 14363. Railway applications - Testing for the acceptance of running characteristics of railway vehicles - Testing of running behaviour and stationary tests.
  • 7. K/259. Savaeigio kelio matavimo vagono EM-140 matuojamų geležinkelio kelio geometrinių parametrų įvertinimo instrukcija. Lithuanian Railways - LTG. [In Lithuanian: Instruction for evaluating the geometrical parameters of the railway track measured by the self-propelled track geometry car EM-140].
  • 8. Kendall, M. & Gibbons, J. D. Rank correlation methods. London. Edward Arnold. 1990.
  • 9. Maskeliūnaitė, L. & Sivilevičius, H. Expert evaluation of criteria describing the quality of travelling by international passenger train: technological, economic and safety perspectives. Technologies and Economic Development of Economy. 2012. Vol. 18(3). P. 544-566.
  • 10. Orugbo, E.E. RCM and AHP hybrid model of network maintenance prioritization. The Baltic Journal of Road and Bridge Engineering. 2015. Vol. 10(2). P. 182-190.
  • 11. Podvezko, V. Agreement of expert estimates. Technological and Economic Development of Economy. 2005. Vol. 11(2). P. 101-107. DOI: 10.3846/13928619.2005.9637688.
  • 12. Skrickij, V. & Šabanovič, E. & Shi, D. & Ricci, S. & Rizzetto, L. & Bureika, G. Visual measurement system for wheel-rail lateral position evaluation. Sensors. Basel: 2021. Vol. 21(4). P. 1-16.
  • 13. Zalewski, W. Application of TOPSIS method for evaluation of the financial condition of the power distribution companies. Economics and Management. 2012. Vol. 4. P. 153-161.
  • 14. Zavadskas, E.K. & Podvezko, V. Integrated determination of objective criteria weights in MCDM. International Journal of Information Technology & Decision Making. 2016. Vol. 15(2). P. 267-283
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9a35d8cf-4617-4134-b201-e2bf85c91baf
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.