TY - GEN
T1 - Grey relational analysis of environmental influencing factors of autonomous ships' maneuvering decision-making
AU - Xue, Jie
AU - Van Gelder, P. H.A.J.M.
AU - Papadimitriou, Eleonora
AU - Chen, Zhijun
AU - Wu, Chaozhong
PY - 2019
Y1 - 2019
N2 - The natural environmental factors that typically affect the safe environment of maritime traffic are weather conditions and ocean conditions, specifically, wind, current, and waves. The environmental influence factors affect the ship's navigation and the crew's decisions by affecting the ship's maneuverability, along with the skill and mentality of the crew. In addition, autonomous ship maneuvering decisions are influenced by several factors, and it is especially important to distinguish the crucial influencing factors for efficient selection of the corresponding maneuvering decisions. At the same time, the autonomous ship maneuvering decision factors are a typical 'grey system which is suitable for the research by grey relational analysis. Therefore, this study mainly focuses on the concept of human-like maneuvering for the autonomous ship. Based on the actual crews' operational data from full-task handling simulation platform, we proposed a grey relational analysis model to prioritize the environmental influencing factors, thus to analyze the decision-making mechanisms for specific ship maneuvering scenario. This method can mine the key factors which affect maneuvering decisions and provide guidance for an autonomous ship-assisted or automatic maneuvering system and promotes the application of autonomous ships.
AB - The natural environmental factors that typically affect the safe environment of maritime traffic are weather conditions and ocean conditions, specifically, wind, current, and waves. The environmental influence factors affect the ship's navigation and the crew's decisions by affecting the ship's maneuverability, along with the skill and mentality of the crew. In addition, autonomous ship maneuvering decisions are influenced by several factors, and it is especially important to distinguish the crucial influencing factors for efficient selection of the corresponding maneuvering decisions. At the same time, the autonomous ship maneuvering decision factors are a typical 'grey system which is suitable for the research by grey relational analysis. Therefore, this study mainly focuses on the concept of human-like maneuvering for the autonomous ship. Based on the actual crews' operational data from full-task handling simulation platform, we proposed a grey relational analysis model to prioritize the environmental influencing factors, thus to analyze the decision-making mechanisms for specific ship maneuvering scenario. This method can mine the key factors which affect maneuvering decisions and provide guidance for an autonomous ship-assisted or automatic maneuvering system and promotes the application of autonomous ships.
KW - Autonomous ships
KW - Decision-making
KW - Grey relational analysis
KW - Grey system theory
KW - Marine safety
KW - Quantitative assessment
UR - http://www.scopus.com/inward/record.url?scp=85074908435&partnerID=8YFLogxK
U2 - 10.1109/ICTIS.2019.8883544
DO - 10.1109/ICTIS.2019.8883544
M3 - Conference contribution
T3 - ICTIS 2019 - 5th International Conference on Transportation Information and Safety
SP - 1447
EP - 1452
BT - ICTIS 2019 - 5th International Conference on Transportation Information and Safety
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 5th International Conference on Transportation Information and Safety, ICTIS 2019
Y2 - 14 July 2019 through 17 July 2019
ER -