Skip to main content
Have a personal or library account? Click to login
Conceptual Risk Assessment of Navigational Safety on Inland Waterways Using the Automatic Identification System (AIS) Cover

Conceptual Risk Assessment of Navigational Safety on Inland Waterways Using the Automatic Identification System (AIS)

Open Access
|Jun 2026

References

  1. Abdullahi Abdulkarim, D.; Iraklis, L. 2023 Developing an advanced reliability analysis framework for marine systems operations and maintenance. Ocean Engineering 272, 113766. Available at: https://www.sciencedirect.com/science/article/pii/S0029801823001506
  2. Blässer, N.; Búgyi, B. M.; Fuentes, G.; Hua, L.” Reinhardt, L. 2025 Fire risk assessment of electric ships on inland waterway based on GT-FFTA: A case study of China. Transportation Research Part C: Emerging Technologies 169, 104853. Available at: https://www.sciencedirect.com/science/article/pii/S0968090X24003747
  3. Blässer, N.; Búgyi, B. M.; Fuentes, G.; Hua, L.” Reinhardt, L. 2024 MATNEC: AIS data-driven environment-adaptive maritime traffic network construction for realistic route generation. Transportation Research Part C: Emerging Technologies 169, 104853. Available at: https://www.sciencedirect.com/science/article/pii/S0968090X24003747
  4. Bulut Ozan, C.; Mehmet Serdar, C. 2024 Operational risk assessment of marine boiler plant for on-board systems safety. Applied Ocean Research 144, 103914. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0141118724000361
  5. Demirci, U.; Meltem, E. 2025 Integrating fuzzy logic and expert weighting into maritime risk assessment: A case study on Ballast Water Treatment system. Ocean Engineering 338, 121998. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0029801825017044
  6. Demirci, U.; Meltem, E. 2025 Integrating fuzzy logic and expert weighting into maritime risk assessment: A case study on Ballast Water Treatment system. Ocean Engineering 338, 121998. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0029801825017044
  7. Donghao, X.; Youwen, D.; Ping, X.; Xuequian, Z. 2025 Path planning for large ships in inland waterways considering risk assessment of AIS data. Ocean Engineering 342, Part 3, 122792. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0029801825024758
  8. Emre, A.; Selcuk, C. 2025 Analysis of human errors in emergency steering gear operation at tanker ship under decomposed fuzzy analytical hierarchy process and SLIM approach. Ocean Engineering 340, Part 3, 1122408. Available at: https://www.sciencedirect.com/science/article/abs/pii/S002980182502092X
  9. Karanovič, V; Bulut Ozan, C.; Jacanovič, M. 2024 Reliable ships: A fuzzy FMEA based risk analysis on four-ram type hydraulic steering system. Ocean Engineering 314, Part 2, 119758. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0029801824030968
  10. Liu, Y; Junzhang, Y.; Ailong, F.; Ruoling, Z.; Lei, W. 2025 Fire risk assessment of electric ships on inland waterway based on GT-FFTA: A case study of China. Ocean Engineering 332, 121329. Available at: https://www.sciencedirect.com/science/article/abs/pii/S002980182501042X
  11. Peide, L; Yifan, W.; Ying, L.; Xiaoming, W. 2024 An improved FMEA method base on expert trust network for maritime transportation risk management. Expert Systems with Applications 238, Part A, 121705. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957417423022078
  12. Peide, L; Yifan, W.; Ying, L.; Xiaoming, W. 2024 An improved FMEA method base on expert trust network for maritime transportation risk management. Expert Systems with Applications 238, Part A, 121705. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957417423022078
  13. Skupien, E; Tubis, A. 2018 The Use of Linguistic Variables and the FMEA Analisys in Risk Assessment in Inland Navigation. DOI: 10.12716/1001.12.01.16. Available at: https://www.researchgate.net/publication/324010549_The_Use_of_Linguistic_Variables_and_the_FMEA_Analysis_in_Risk_Assessment_in_Inland_Navigation
  14. Ugulu, O. 2025 Real-Time Intelligent Maritime Accident Prediction and Prevention System for Narrow Waterways. DOI: 10.1016/j.atres.2025.09.002 Available at: https://www.researchgate.net/publication/395925787_Real-Time_Intelligent_Maritime_Accident_Prediction_and_Prevention_System_for_Narrow_Waterways
  15. Ye. X; Xingchen, L.; Jiangjin, Y.; Wei, L.; Yupeng, H. 2023 Adaptive multi-source data fusion vessel trajectory prediction model for intelligent maritime traffic. Knowledge-Based Systems 277, 110799. Available at: https://www.sciencedirect.com/science/article/abs/pii/S095070512300549X
  16. Yuging. H; Jialin, L.; Dian, W.; Xinhui, S.; Pengyu, L.; Yu, A.; Yong, Z.; Fei, D.; Hongyuan, L. 2024 Velocity and trajectory tracking control model for underactuated UUVs through coupling of direct CFD and PID control algorithm. Ocean Engineering 314, Part 2, 119775. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0029801824031135
Language: English
Page range: 43 - 47
Published on: Jun 26, 2026
Published by: Univesity of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Alena Molnarova Barackova, Martin Jurkovič, Oleksiy Melnyk, published by Univesity of Žilina
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.