Ship’s Trajectory Planning Based on Improved Multiobjective Algorithm for Collision Avoidance

• Main Authors: Jinxin Li, Hongbo Wang, Wei Zhao, Yuanyuan Xue
• Format: Article
• Language: English
• Published: Hindawi-Wiley 2019-01-01
• Series: Journal of Advanced Transportation
• Online Access: http://dx.doi.org/10.1155/2019/4068783

With vigorous development of the maritime trade, many intelligent algorithms have been proposed to avoid collisions due to resulting casualties and increased costs. According to the international regulations for preventing collisions at sea (COLREGs) and the self-evolution ability of the intelligent algorithm, the collision avoidance trajectory can be more consistent with the requirements of reality and maritime personnel. In this paper, the optimization of ship collision avoidance strategies is realized by both an improved multiobjective optimization algorithm NSGA-II and the ship domain under the condition of a wide sea area without any external disturbances. By balancing the safety and economy of ship collision avoidance, the avoidance angle and the time to the action point are used as the variables encoded by the algorithm, and the fuzzy ship domain is used to calculate the collision avoidance risk to achieve collision avoidance. The simulation results show that the proposed method can optimize the ship collision avoidance strategy and provide a reasonable scheme for ship navigation.