
A Novel Maritime Risk Assessment Model of Waterway Transportation Based on Takagi-Sugeno Fuzzy Logic: Vietnam Case Study
Author(s) -
Van-Hung Le,
Xuan-Kien Dang,
Duc Manh Nguyen,
Thi-Duyen-Anh Pham
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/527/1/012001
Subject(s) - fuzzy logic , risk assessment , maritime safety , collision , computer science , risk analysis (engineering) , business , engineering , computer security , artificial intelligence
In this paper, we analyzed the safety assessment getting from the opinions of captains, pilots and navigators in Ganh Rai Bay. The results showed that the highest risk was caused by unsafe fishing ships and the most unsafe situation was generated by the crossing ships, wind and currents. The influence of human psychology factors was one of the most important factors, which caused the risk of collision. Based on fuzzy logic theory, we proposed risk assessment model which was tested in simulation and compared with the evaluation results of the Experts in Vietnam. The results showed the effectiveness of the novel maritime risk assessment model.