TY - JOUR
T1 - A graphical collision alert system of power-driven ship in sight situations considering geometric encounter situations
AU - Zhao, Congcong
AU - Wu, Bing
AU - Yip, Tsz Leung
AU - Lyu, Jieyin
N1 - Funding Information:
The research presented in this paper was sponsored by a grant from National Natural Science Foundation of China (Grant No. 5191001041 , 52071248 and 52272422 ), Fundamental Research Funds for the Central Universities ( WUT: 2023IVB079 ), Research Grants Council of the Hong Kong Special Administrative Region (Project No. PolyU 15214221 ), Innovation and entrepreneurship team import project of Shaoguan city ( 201212176230928 ), Shenzhen Science and Technology Innovation Committee (Grant No. CJGJZD20200617102602006)..
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/11/1
Y1 - 2023/11/1
N2 - This paper proposes a power-driven ship collision alert model considering geometric encounter situations in sight situations by collecting the natural environment, ship static and dynamitic information. The kernel of the proposed method is to introduce a ship geometric encounter model to determine the ship encounter situation and to identify the influencing factors, including ship position, ship speed and ship heading, by considering ship-ship collision situations. These factors, together with ship static parameters and natural environment, are treated as input variables to derive the collision risk through a fuzzy inference system. The merit of developed model is that the relative bearing, collision distances and relative course are intuitively described by graphical user interface, which can assist the crew well understand the decision of machine and can be applied to human-machine collaboration for intelligent ship (e.g. remotely control ship). Moreover, from further analysis, the nearest point and the actions taken at the nearest point provide a useful alert for collision risk. From these analyses, the proposed model can be used to improve ship handling and reduce the probability of collision during ship encounters.
AB - This paper proposes a power-driven ship collision alert model considering geometric encounter situations in sight situations by collecting the natural environment, ship static and dynamitic information. The kernel of the proposed method is to introduce a ship geometric encounter model to determine the ship encounter situation and to identify the influencing factors, including ship position, ship speed and ship heading, by considering ship-ship collision situations. These factors, together with ship static parameters and natural environment, are treated as input variables to derive the collision risk through a fuzzy inference system. The merit of developed model is that the relative bearing, collision distances and relative course are intuitively described by graphical user interface, which can assist the crew well understand the decision of machine and can be applied to human-machine collaboration for intelligent ship (e.g. remotely control ship). Moreover, from further analysis, the nearest point and the actions taken at the nearest point provide a useful alert for collision risk. From these analyses, the proposed model can be used to improve ship handling and reduce the probability of collision during ship encounters.
KW - Fuzzy logic
KW - Geometric encounter situation
KW - Graphical user interface
KW - Risk assessment
KW - Ship-ship collision
UR - http://www.scopus.com/inward/record.url?scp=85173606272&partnerID=8YFLogxK
U2 - 10.1016/j.ocecoaman.2023.106872
DO - 10.1016/j.ocecoaman.2023.106872
M3 - Journal article
AN - SCOPUS:85173606272
SN - 0964-5691
VL - 245
JO - Ocean and Coastal Management
JF - Ocean and Coastal Management
M1 - 106872
ER -