A novel emergency decision-making model for collision accidents in the Yangtze River

Bing Wu, Congcong Zhao, Tsz Leung Yip, Dan Jiang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Collision accident accounts for the largest proportion among all types of maritime accidents, emergency decision-making is essential to reduce the consequence of such accidents. This paper proposes a novel Bayesian Network based emergency decision-making model for consequence reduction of individual ship-ship collision in the Yangtze River. The kernel of this method is to propose a three-layer decision-making framework, to develop the graphical structure for describing the accident process and to establish the conditional probability tables for the quantitative relationships. The merits of the proposed method include the intuitive representation of accident development, easy to implement, ability to deal with incomplete information and updated information. This proposed method is applied to a typical collision accident in the Yangtze River. Consequently, this paper provides a practical and novel decision-making method for collision accidents.

Original languageEnglish
Article number108622
JournalOcean Engineering
Publication statusPublished - 2021


  • Bayesian network
  • Collision accidents
  • Decision-making
  • Maritime safety


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