Machine learning models and methods for solving optimization and forecasting problems of the work of seaports

Abstract

Machine learning techniques have made significant advances and expanded application sphere over the past decade to include problems of port operations. This happened due to the growing amount of data available cargo ports. We review the literature on models and methods of machine learning and their application to optimization of port operations. A special attention is paid to the port planning and development a wide range of topics in port operations, including port planning and development, their safety and security, water and land port operations.

Keywords

• machine learning
• forecasting port forecasting
• port operations
• analytical review
• international transportation management