Gemi çarpışmalarının önlenmesi için melez algoritma tabanlı bir karar destek sisteminin oluşturulması

Abstract

 CSGA for collision avoidance  Fuzzy for collision risk assesment  Neural network for position estimation Collision risk assessment and collision avoidance of vessels have always been an important area of research in the field of ocean engineering. Decision support systems constitute the focus of many studies in the maritime industry as vessel accidents are often caused by human errors. In this study, an anti-collision decision support system is proposed. The proposed system can determine surrounding obstacles by using the information it receives from the AIS and Radar equipments, obtain the position of obstacles within a certain time period, calculate the TCPA(Time to the Closest Point of Approach) and DCPA(Distance at Closest Point of Approach) using a fuzzy system in the light of COLREGs (Collision prevention regulations at sea) and suggest the optimal route to prevent collisions using a hybrid cuckoo search-genetic algorithm. Figure A. General structure of the proposed system Purpose: As collision of ships are because of the human errors. Decision support systems have become very popular for ship collision avoidance. We propose an on board collision risk assesment and collision avoidance system to prevent ships from collisions. Theory and Methods: We used three methods in this study. A neural network to predict next positions of the targets. A fuzzy system to obtain risk assesment and a hybrid method based collision avoidance algorithm. Results: The proposed system has been tried for some scenarios and found to be successful. Also the improvements of the study have been shown both numerically and graphically. Conclusion: A collision risk assesment and collision avoidance system has been proposed. The system has given fast and reliable solution for the examined scenarios. The usage of the CSGA algorithm for collision avoidance is found to be high.

A SURVEY on MCDM APPROACHES for MARITIME PROBLEMS

“…For this, TCPA (Time to Closest Point of Approach) and DCPA (Distance to Closest Point of Approach) values were applied most appropriately according to COLREGs rules. This study tried to be concluded by using AHP and TOPSIS (Inan and Baba, 2020).…”