Basic directions for the use of artificial intelligence technologies in the transportation and logistics sector

The article investigates the issues of using artificial intelligence technologies in the field of transportation and logistics in order to find effective solutions for their implementation. Based on the available data in this area, the main directions of development of transportation and logistics based on artificial intelligence, their characteristics and examples of implementation of technological solutions are considered, the main effects from the application of AI solutions are given. It is shown that AI technologies are used in key processes of passenger and cargo transportation, traffic flow and road infrastructure management, and customer interaction. The development of AI in the industry corresponds to the global dynamics of the world technological development of the industry - these are the technologies of autonomous movement that can completely change the whole face of both personal mobility and passenger and cargo transportation in all modes of transportation. Research reveals that in the field of AI applications for transportation and logistics, solutions based on computer vision technology are developing to the greatest extent. This is explained by the industry specifics, characterized by a high demand for solutions aimed at road safety, support of road service activities, photo and video recording of violations, control of resource consumption, and monitoring of harmful emissions reduction. The demand for computer vision technologies is also expected to continue to grow due to the implementation of large-scale projects in the field of unmanned transportation. In addition, the vector of transport and logistics industry development is aimed at the formation of "smart" transport infrastructure (seaports, air harbors, railway system, etc.), which are fully automated facilities based on AI, Internet of Things, big data, blockchain, and other technologies. Based on the results of the study, it is concluded that the considered directions of using AI technologies in the transport and logistics sphere contribute to improving the efficiency, safety and sustainability of transportation systems.