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Zhou, Y, Liu, Z, Wang, X, Xie, H, Tao, J, Wang, J and Yang, Z (2024) Human errors analysis for remotely controlled ships during collision avoidance. Frontiers in Marine Science, 11.
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Human errors analysis for remotely controlled ships during collision avoidance.pdf - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
To address human errors in collision avoidance tasks of remotely controlled ships, this study aims to develop a comprehensive framework for human error analysis within the context of autonomous ships. Firstly, the Hierarchical Task Analysis method is utilized to identify crew collision avoidance tasks associated with the traditional ship, and these tasks are then dissected into different operational stages using the Information Decision Action in a Crew cognitive model. Secondly, a combination of the fault hypothesis method and expert opinions are used to identify potential human error that may occur during collision avoidance operations of remotely controlled ships. Thirdly, an integrated approach is proposed to build a quantitative risk assessment model, which combines Failure Mode and Effects Analysis, Evidential Reasoning, and Belief rules-based Bayesian Network. Then, axiomatic analysis is used to verify the robustness and applicability of the risk assessment model. Finally, based on the results of quantitative risk assessment, specific measures are proposed for enhancing the safety of collision avoidance process of remotely controlled ships. The findings show that uncoordinated interactions of human-computer systems during the decision-making stage are a pivotal factor in the collision avoidance process. Therefore, future design efforts for remote-control centre should prioritize improving the clarity of human-computer interaction interfaces.
| Item Type: | Article |
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| Uncontrolled Keywords: | maritime safety; maritime autonomous surface ships; human error; risk analysis; FMEA; evidential reasoning; 0405 Oceanography; 0602 Ecology |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
| Divisions: | Engineering |
| Publisher: | Frontiers Media |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 08 Jan 2025 16:57 |
| Last Modified: | 08 Jan 2025 17:00 |
| DOI or ID number: | 10.3389/fmars.2024.1473367 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/25215 |
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