Research on Decision-Making Factors of Ship's Driving Behavior Based on Grey Relation Entropy Analysis Method

摘要

In the driving decision-making process, driving behavior is usually affected by many elements, such as human error, and environment. Because of the limitation of information processing capabilities, knowledge representation, and acquisition are not able to occur simultaneously, and driving decision cannot be made quickly and correctly all of the time. As a result, traffic incidents usually happens. So quick decision making is particularly important to driver safety. In this paper, we use gray relation entropy analysis method to select the main factors to study the decision-making mechanisms for different piloting behaviors. The results show that entropy correlation sequence is rate of turn > relative current direction > relative wind direction > heading > relative wind speed > current speed > longitude > latitude. The theory base and feasibility can be provided for an automatic driving system in intelligent ships.