Models for ranking railway crossings for safety improvement

  • Sandra Kasalica Academy of Technical and Art Applied Studies Belgrade, department High Railway School, Belgrade, Serbia
  • Marko Obradović Faculty of Mathematics, University of Belgrade, Belgrade, Serbia
  • Aleksandar Blagojević Academy of Technical and Art Applied Studies Belgrade, department High Railway School, Belgrade, Serbia
  • Dušan Jeremić Academy of Technical and Art Applied Studies Belgrade, department High Railway School, Belgrade, Serbia
  • Milivoje Vuković Infrastructure of Serbian Railways, Belgrade, Serbia
Keywords: railway crossings, high-risk locations, accidents, regression models


Analysis of high-risk locations, accident frequency and severity for railway crossing is necessary in order to improve the safety and consequently diminish the number of accidents and their severity. In order to extract the necessary parameters that quantify the risk associated with railway crossings in Serbia, we have carefully analyzed available statistical models commonly used in this kind of studies. A zero-inflated Poisson model and a multinomial logistic model were used for the assessment of accident frequency and accident severity respectively. In order to quantitatively evaluate the risk, a well known measure – total risk was modified and a new measure for risk – empirical risk was introduced. The road sign warning device (p=2.76∙10^(-9)) , exposure to traffic (p=4.3∙10^(-7)), and maximum train speed at a given crossing were (p=1.36∙10^(-5)) significantly associated with probability of accident frequency and significantly influenced the expected total number of fatalities or injuries caused by traffic accidents.


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How to Cite
Kasalica, S., Obradović, M., Blagojević, A., Jeremić, D., & Vuković, M. (2020). Models for ranking railway crossings for safety improvement. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 84-100. Retrieved from