The relevance of the article is due to the fact that in modern conditions the fourth industrial revolution, digital economy and digital society act as a new environment for transport systems and new conditions for logistics and supply chains. The article presents a description of tools and methods for modeling traffic flows using artificial intelligence. As an example, neural modeling of the assessment of transport services and the multifac-eted nature of this problem are discussed. A model for choosing optimal routes is proposed. The article dis-cusses the features of the technology for managing transit cargo traffic in sea transport using autonomous ves-sels based on neural network modeling. Special attention is paid to the possibility, based on Rumelhart's mul-tilayer perceptron, to assess the economic and transport effect of using a group of ships, consisting of a tramp ship, which is the lead, and several autonomous ships, the control and tracking of the movement of which is carried out by a neural network
logistics, transportation, autonomous ship, neural network, costs, efficiency, tracking
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