Article

Received 16.01.2026

Revised 27.05.2026

Accepted 25.06.2026

Published 06.07.2026

Retrieved from Vol. 30, No. 2, 2026

Pages 41 -52

Striletskyi, P. (2026). Information modelling in the analysis of the condition of small bridge structures in rural road network: Challenges and solutions. The National Transport University Bulletin, 30(2), 41-52. https://doi.org/10.33744/2308-6645-2026-2-30-41-52

Information modelling in the analysis of the condition of small bridge structures in rural road network: Challenges and solutions

Pavlo Striletskyi*

pavstriletskyi@hotmail.com

The study aimed to identify effective approaches to the use of digital technologies for assessing the condition and planning the rehabilitation of small transport crossings, incorporating limited resources and data interoperability requirements. The methodology combined comparative analysis, Building Information Modelling, case studies of regional examples and systematisation of international experience. Digital methods have been shown to provide millimetre-level measurement accuracy, reduce data collection time, and can be used to create detailed 3D models, as well as predict wear using deep learning algorithms. In Zhytomyr, Volyn, Cherkasy and Odesa regions of Ukraine, defects in bridge structures were recorded: in Zhytomyr – damage from military operations, in Volyn – cracks in concrete and soil erosion, in Cherkasy – the effects of prolonged operation for more than 50 years, and in Odesa – corrosion of steel elements combined with an aggressive coastal environment. The study confirmed that the integration of data into the Digital Twin Building Information Modelling environment increased the accuracy of forecasts by up to 95% (in China), and a 40-65% reduction in time and labour costs was recorded when using deep learning algorithms in Germany. The use of unmanned aerial vehicles with Light Detection and Ranging and photogrammetry was used for the inspection of bridges with minimal impact on traffic and human factors, which is essential in remote or dangerous areas. Based on a synthesis of international experience in implementing innovative methods in bridge construction, the use of open formats and simplified models was recommended, which reduced survey costs and time for preparing documentation. The results can be used by road services to plan repairs, manage the life cycle of bridges and rehabilitate structures in Ukraine with increased transparency and lower environmental impact

digital twins; open formats; lifecycle; cross-platform compatibility; wear prediction; semantic enrichment; automated monitoring
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https://doi.org/10.33744/2308-6645-2026-2-30-41-52