TY - GEN
T1 - Fuzzy-logic based ship-bridge collision alert model form ship behaviour perspective
AU - Wu, Bing
AU - Zhang, Junhui
AU - Yan, Xinping
AU - Yip, Tsz Leung
AU - Guedes Soares, C.
PY - 2019/7
Y1 - 2019/7
N2 - Ship collision with offshore structures such as bridges poses potential serious risk. This paper proposes a fuzzy-logic based ship-bridge collision risk alert model from the perspective of ship behavior using Automatic Identification System data. The kernel of the proposed method is to identify the risk factors from the historical data by comprehensively considering the traffic-flow direction, water level seasons, course of ground and speed of ground, to fuzzify the risk factors by using ship behaviors, fuzzy rule base to establish the fuzzy logic boxes and finally to obtain the collision risk. The result demonstrates that the proposed model cannot only predict the collision risk with good accuracy but also be used to improve the ship handling when passing under the bridge. Consequently, this paper proposes a practical and beneficial model for ship-bridge collision alert system.
AB - Ship collision with offshore structures such as bridges poses potential serious risk. This paper proposes a fuzzy-logic based ship-bridge collision risk alert model from the perspective of ship behavior using Automatic Identification System data. The kernel of the proposed method is to identify the risk factors from the historical data by comprehensively considering the traffic-flow direction, water level seasons, course of ground and speed of ground, to fuzzify the risk factors by using ship behaviors, fuzzy rule base to establish the fuzzy logic boxes and finally to obtain the collision risk. The result demonstrates that the proposed model cannot only predict the collision risk with good accuracy but also be used to improve the ship handling when passing under the bridge. Consequently, this paper proposes a practical and beneficial model for ship-bridge collision alert system.
KW - Automatic identification system
KW - Fuzzy logic
KW - Ship behaviors
KW - Ship-bridge collision
UR - http://www.scopus.com/inward/record.url?scp=85074947645&partnerID=8YFLogxK
U2 - 10.1109/ICTIS.2019.8883730
DO - 10.1109/ICTIS.2019.8883730
M3 - Conference article published in proceeding or book
AN - SCOPUS:85074947645
T3 - ICTIS 2019 - 5th International Conference on Transportation Information and Safety
SP - 1276
EP - 1281
BT - ICTIS 2019 - 5th International Conference on Transportation Information and Safety
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Transportation Information and Safety, ICTIS 2019
Y2 - 14 July 2019 through 17 July 2019
ER -