Forecasting vessel flows is important to the development of intelligent transportation systems
in the maritime field, as real-time and accurate traffic information has favorable potential in …

The COVID-19 pandemic has stifled international trade and the global maritime industry. Its
impact on the routing of the regional vessel traffic flow provides supportive data to port …

Vessel management calls for real-time traffic flow prediction, which is difficult under complex
circumstances (incidents, weather, etc.). In this paper, a multimodal learning method named …

In transportation systems, there is a need of Machine Learning (ML) to create intelligent
solutions for many issues. In port's studies, there has been a long focus on optimization and …

Port terminals are critical nodes in the maritime transport network and play a significant role
in the global supply chain. However, they still suffer from many disruptions entailed by their …

Accurate vessel traffic flow prediction is of vital indispensable for the enhancement of
capability of navigation, the optimal allocation of port resources and the improvement of the …

Accurate prediction of vessel traffic flow is crucial for maritime regulatory authorities and
transportation planners. However, existing methods for inland vessel traffic flow prediction …

With the development of industrial intelligence, the resource requests of various social
media services in smart cities are expanding rapidly. For hosting services, the edge …

Ship traffic flow prediction is facing many problems at present, such as high randomness,
many influencing factors and low accuracy. In this paper, a long short-term memory (LSTM) …

Accurate prediction of vessel traffic flow plays a significant role in the field of modern
intelligent transportation system. In order to enhance the prediction accuracy of vessel traffic …