Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia

  • Dragan Pamučar University of Defence in Belgrade, Military Academy, Belgrade, Serbia
  • Vesko Lukovac University of Defence in Belgrade, Military Academy, Belgrade, Serbia
  • Darko Božanić University of Defence in Belgrade, Military Academy, Belgrade, Serbia
  • Nenad Komazec University of Defence in Belgrade, Military Academy, Belgrade, Serbia
Keywords: railway level crossings, FUCOM, MAIRCA, multi-criteria decision making, railway accidents


A level crossing, as a point of the crossing of road and rail traffic in the same level, is a place of conflicts subject to traffic accidents. In Serbia, the selection of the level crossings to be secured is mostly done based on the media and society pressure, as a result of an increase of the number of accidents at level crossings. In Serbia, there is no defined methodology for the evaluation of level crossings, respectively, for the development of a strategy for making relevant decision. This paper presents the application of a group multi-criteria FUCOM-MAIRCA (Full Consistency Method – Multi Attributive Ideal-Real Comparative Analysis) model that supports the process of selecting a level crossing in terms of investing in its security equipment. The FUCOM-MAIRCA multi-criteria model is tested in a case study which included the evaluation of ten level crossings within the railway infrastructure in the Republic of Serbia. The evaluation of the crossings is carried out through the assessment according to seven criteria set out on the basis of representative literature and surveys of experts. Sensitivity test of the FUCOM-MAIRCA model is performed by changing the weight coefficients of criteria and statistically processing the results using Spearman’s rank correlation coefficient.


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How to Cite
Pamučar, D., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.