Jinfen Zhang

TL;DR: In this article, a distributed and real-time anti-collision decision support formulation is proposed for collision avoidance in a multi-ship encounter scenario, where the initial decision on collision avoidance by course alteration or speed changing is made according to the encounter situation between own ship and target ships.

TL;DR: The work pioneers the analysis of various impacts of human factors on different maritime accident types and helps provide specific recommendations for the prevention of a particular type of accidents involving human errors.

TL;DR: The results indicate that the consequences are most sensitive to the position where the accidents occurred, followed by time of day and ship length, which means that the navigational risk of the Tianjin port is at the acceptable level, despite that there is more room of improvement.

TL;DR: In this paper, a novel approach incorporating a fuzzy rule base technique and an Evidential Reasoning (ER) algorithm is applied to conduct the navigational risk assessment of an Inland Waterway Transportation System (IWTS).

TL;DR: In this paper, the trajectories of the colliding ships are regenerated with three reasoning respects: (1) the conflict resolution envisioned by each ship in the collision-inducing scenario when the two ships are drawing near; (2) how to evaluate the decision quality of the steering process and how to measure the consistency between the subjective endeavors and the objective results in the context of bilateral anti-collision maneuvers.