Classification of Ship Navigation Behavior in Inland Crossing Channels

With the development of inland river transportation in China and the popularization of automatic identification systems (AIS), it has become more and more important to collect ship movement information and use it for maritime monitoring and management. However, ship movement information is complicated, and AIS data is often missing. It is very difficult to classify ship navigation behavior. This paper proposes an improved SRC model to solve it. In order to verify the performance of the model, the preprocessed data set of Huai'an section of Beijing-Hangzhou Canal is applied to the model. After comparing with other traditional classification models, the results show that the SRC model can effectively classify the navigation behavior of ships, and in most cases is better than other traditional classification models.