Article

Received 23.01.2026

Revised 02.06.2026

Accepted 25.06.2026

Published 04.07.2026

Retrieved from Vol. 29, No. 1, 2026

Pages 28 -38

Kovalchuk, V., & Lesiv, Yu. (2026). Assessment of the impact of train visibility distance for pedestrians on the accident rate coefficient at railway pedestrian crossings. Transport Systems and Technologies, 29(1), 28-38. https://doi.org/10.32703/2617-9040-2026-47-2

Assessment of the impact of train visibility distance for pedestrians on the accident rate coefficient at railway pedestrian crossings

Vitaliy Kovalchuk, Yulia Lesiv*

yuliia.z.lesiv@lpnu.ua

The paper presents an improved method for the quantitative assessment of pedestrian safety at railway pedestrian crossings. The method was based on the calculation of partial accident rate coefficients that take into account pedestrian and train traffic intensity, train visibility distance, the level of technical and informational equipment of the crossing, as well as the geometric and planning parameters of the pedestrian crossing. Multi-variant modelling of changes in the resulting accident rate coefficient depending on the pedestrian train visibility distance and the simultaneous consideration of pedestrian and train traffic intensity was carried out. It has been established that at a pedestrian flow intensity of 100 persons/hour and a train traffic intensity of 30 trains/day, the minimum required visibility distance at railway pedestrian crossings located within an existing level crossing without a pedestrian train warning information system is 635 m, whereas when such a crossing is equipped with an information warning system, the required visibility distance is reduced to 435 m. For railway pedestrian crossings located outside existing level crossings, the minimum required train visibility distance should be 530 m. It has been determined that the implementation of a pedestrian train warning information system makes it possible to reduce the accident rate coefficient by up to 30% within existing level crossings and by 20% outside them. The obtained results can be used in the design and modernisation of railway pedestrian crossings across railway tracks

safety assessment; risk perception; warning systems; infrastructure; hazardous situations
  1. Dedík, M., Mašek, J., Gašparík, J., & Ľupták, V. (2022). Assessment of the perspective ratios in rail crossings as an important evaluation factor of rail crossings. Applied Sciences, 12(15), article number 7489. doi: 10.3390/app12157489.
  2. Di Graziano, A., & Marchetta, V. (2024). Application of a quantitative risk-based decision tool for local railway level crossing management. Applied Sciences, 14(19), article number 8630. doi: 10.3390/app14198630.
  3. European Road Safety Observatory. (2021). Road safety thematic report: Railway level crossings. Retrieved from https://road-safety.transport.ec.europa.eu/document/download/16b319ae-d8c0-45f7-adf4-c066dcc92d64_en?filename=road_safety_thematic_report_railway_level_crossings_tc_final.pdf.
  4. Grilo, M.I., Neves, G.F., Ribeiro, G., Infante, V., & Andrade, A.R. (2025). Enhancing railway operational safety: A quantitative risk assessment of signals passed at danger. Journal of Rail Transport Planning & Management, 33, article number 100504. doi: 10.1016/j.jrtpm.2025.100504.
  5. Guo, Z., Zhang, Y., Wang, X., & Li, H. (2022). Characteristics of train-pedestrian collisions and contributing factors. International Journal of Environmental Research and Public Health, 19(10), article number 6104. doi: 10.3390/ijerph19106104.
  6. Holotyuk, M.V., Pylypaka, T.S., Valetska, O.V., Tkhoruk, Y.I., & Doroshchuk, V.O. (2024). The impact of intelligent transport systems on road safety. Bulletin of the National University of Water Management and Nature Resources Use, 2(106), 195-205. doi: 10.31713/vt2202417.
  7. Kampczyk, A. (2020). An innovative approach to surveying the geometry of visibility triangles at railway level crossings. Sensors, 20(22), article number 6623. doi: 10.3390/s20226623.
  8. Khattak, A.J., Lord, D., & Park, E.S. (2024). Pedestrian and bicyclist safety at highway-rail grade crossings. Lincoln: University of Nebraska‑Lincoln. doi: 10.13140/RG.2.2.35150.37444.
  9. Kovalchuk, V., & Lesiv, Y. (2024). Devising a method for improving pedestrian traffic safety when crossing railroad tracks by implementing an information system with a fixed warning time. Eastern-European Journal of Enterprise Technologies, 2(3(128)), 50-59. doi: 10.15587/1729-4061.2024.300168.
  10. Kurhan, M.B., Kurylo, M.O., Khmil, H.V., & Ostapchuk, I.V. (2024). Modernization of existing level crossings in the areas of construction of the European standard railway track in Ukraine. Science and Transport Progress, 4(108), 31-45. doi: 10.15802/stp2024/316608.
  11. Lesiv, J., & Kovalchuk, V. (2025). Assessment of the accident rate coefficient at pedestrian railway crossings. Transport Technologies, 6(1), 61-72. doi: 10.23939/tt2025.01.061.
  12. Lin, C.-Y., Blumenfeld, M., Gerstein, T., Barkan, C.P.L., Jack, A., & Abdurrahman, U.T. (2023). International benchmarking of railroad safety data systems and performance – a cross-continental case study. Journal of Rail Transport Planning & Management, 26, article number 100384. doi: 10.1016/j.jrtpm.2023.100384.
  13. Magyari, Z., Fischer, S., & Koren, C. (2018). Visibility investigations at railway crossings. In A. Fülöp & P. Iványi (Eds.), Abstract book of the 14th international Miklós Iványi PhD and DLA symposium. Pécs: Pollack Press.
  14. Naghdi, M., Lautala, P., & Erfani, A. (2024). Assessing visibility at highway-rail grade crossings using light detection and ranging (LiDAR) technology. Heliyon, 10(22), article number e40347. doi: 10.1016/j.heliyon.2024.e40347.
  15. Nguyen, N.A.T., Tran, Q.H., & Le, V.D. (2025). Improving nighttime visibility and safety at passive railway level crossings. Safety Science, 175, article number 105801. doi: 10.1080/15389588.2025.2479187.
  16. ONRSR code of practice – train visibility at level crossings. (2024). Retrieved from https://www.onrsr.com.au/publications/code-of-practice-train-visibility-at-level-crossings.
  17. Railway safety statistics in the EU. (2025). Retrieved from https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Railway_safety_statistics_in_the_EU.
  18. Russo, B.J., James, E., Erdmann, T., & Smaglik, E.J. (2021). Pedestrian and bicyclist behavior at highway-rail grade crossings: An observational study of factors associated with violations, distraction, and crossing speeds during train crossing events. Journal of Transportation Safety and Security, 13(11), 1263-1281. doi: 10.1080/19439962.2020.1726545.
  19. Singhal, V., Anand, D., Aljahdali, H.M., Goyal, N., Singh, A., & Kadry, S. (2021). An intelligent and autonomous sight distance evaluation framework for sustainable transportation. Sustainability, 13(16), article number 8885. doi: 10.3390/su13168885.
  20. State Road Service of Ukraine. (2008). Methodology for assessing traffic safety levels on roads in Ukraine (M 218-03450778-652:2008). Retrieved from https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=24959.
  21. State Service of Ukraine for Transport Safety. (2025). Analysis of road safety and accident rates in land transport in Ukraine for the first nine months of 2025. Retrieved from https://dsbt.gov.ua/images/public_information/analiz_stanu_avariynosti_na_nazemnomu_transporti_2025/analiz_stanu_avariynosti_na_nazemnomu_transporti_9_misyaciv_2025.pdf.
  22. Turner, S., Cook, E., & Bosher, S. (2021). Level crossing safety impact assessments for vehicle and pedestrian crossings. Transportation Research Record: Journal of the Transportation Research Board, 2675(9), 1482-1492. doi: 10.1177/03611981211007857.
  23. Voznyak, O., & Havryliuk, V. (2016). Ensuring traffic safety at level crossings. Dnipro: Dnipropetrovsk National University of Railway Transport named after Academician V. Lazarian. doi: 10.978-966-8471-70-4.
  24. Zawodny, M., Kruszyna, M., Szczepanek, W.K., & Korzeń, M. (2023). A new form of train detection as a solution to improve level crossing closing time. Sensors, 23(14), article number 6619. doi: 10.3390/s23146619.

https://doi.org/10.32703/2617-9040-2026-47-2