An interpretable knowledge-based decision support method for ship collision avoidance using AIS data
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DOI: 10.1016/j.ress.2022.108919
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- Xin, Xuri & Liu, Kezhong & Loughney, Sean & Wang, Jin & Li, Huanhuan & Ekere, Nduka & Yang, Zaili, 2023. "Multi-scale collision risk estimation for maritime traffic in complex port waters," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
- Gao, Dawei & Zhu, Yongsheng & Guedes Soares, C., 2023. "Uncertainty modelling and dynamic risk assessment for long-sequence AIS trajectory based on multivariate Gaussian Process," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Wang, Yang & Ye, Ting & Zio, Enrico & Wang, Tengfei & Wu, Bing, 2024. "A blockchain-based credibility evaluation scheme for navigational event dissemination in the internet of ships," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
- Yang, Ying & Liu, Yang & Li, Guorong & Zhang, Zekun & Liu, Yanbin, 2024. "Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
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Keywords
Automatic identification system (AIS); Ship collision avoidance behavior; Scenario similarity measurement; Trajectory fusion; Collision avoidance path planning;All these keywords.
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