Article

Received 03.02.2026

Revised 22.05.2026

Accepted 25.06.2026

Published 04.07.2026

Retrieved from Vol. 29, No. 1, 2026

Pages 50 -58

Sorochynska, O., & Bovkun, O. (2026). Integration of automated multimodal transportation management methods and occupational safety systems in transport and logistics processes. Transport Systems and Technologies, 29(1), 50-58. https://doi.org/10.32703/2617-9040-2026-47-4

Integration of automated multimodal transportation management methods and occupational safety systems in transport and logistics processes

Olena Sorochynska*, Oleksandr Bovkun

ellena06.84@ukr.net

The increasing complexity of multimodal transport chains under digital transformation creates the need for integrated management approaches that simultaneously ensure transportation efficiency and occupational safety. Across numerous transport and logistics enterprises, transportation management systems and occupational safety systems continue to operate separately, which reduces coordination efficiency, creates information gaps, and increases operational risks during transportation processes. This research aimed to design and validate integrated approaches for combining automated multimodal transport management with occupational safety systems, enhancing operational efficiency, reliability, and risk mitigation in transport and logistics processes. The study applied a conceptual modelling approach based on system analysis, multi-criteria evaluation, probabilistic risk assessment, scenario simulation, and sensitivity analysis. A simulation model was developed in AnyLogic to analyse three management scenarios with different levels of automation and system integration. The model evaluates transportation time, operating costs, downtime duration, number of incidents, and the integral occupational risk indicator under predefined operational conditions. Input parameters reflected typical operational conditions of transport enterprises and were varied to test model sensitivity. The results showed that the integrated model demonstrated the best overall performance among all analysed scenarios. The integral risk indicator decreased from 0.42 in the traditional system to 0.17 in the integrated model. Transportation time was reduced from 18.5 to 13.1 hours, downtime decreased from 120 to 58 hours per month, and the number of incidents declined from 12 to 4 cases per operational cycle. Operating costs decreased by approximately 22%. Sensitivity analysis confirmed the stability and internal consistency of simulation results. The practical value of the study lies in the potential application of the proposed model for developing digital decision-support systems for multimodal transport enterprises

monitoring systems; risks; human factor; digital technologies; reliability
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https://doi.org/10.32703/2617-9040-2026-47-4