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The extensive development of the structures of the automobile-road complex requires optimization of the processes of their integration into the regional and global transport infrastructure. In order to effectively manage unstable traffic flows, automated control systems are developed that use complex algorithms based on the principles of artificial intelligence. The basis of this approach is the concept of transferring the concept of a control object from a generalized or aggregate traffic stream to a separate control element: a separate vehicle, a separate passenger, a separate consignment. The completed management process in the system of the road complex, which meets the current level of development of scientific and technological progress and productive forces, requires the use of digital object-oriented management models based on the creation of a unified communication and computer network for managing information flows as well as the development and application of control models physical objects of movement in the transport network, determining the optimal trajectory of movement of the latter. To form a control system based on object-oriented models, it is necessary to develop specialized analytical methods for multi-criteria evaluation of possible options. It is of fundamental importance that the developed methods can investigate the field of probabilities of changes in informational situations of the environment and are applicable to factors of any degree of uncertainty.

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A scientific approach to methods of technical support, economic and organizational management, as well as planning the activities of enterprises often dictates the need to make decisions not on one but on several performance indicators simultaneously. The presence of a number of situations with one or another degree of uncertainty in modern difficult conditions of forecasting requires the involvement of a certain mathematical apparatus for its description. The task of removing uncertainty is becoming complicated if it is necessary to evaluate the effectiveness of control actions in the system according to several performance criteria. Therefore, at present, the development of mathematical methods is actively underway, which allows solving applied problems in a multi-criterial formulation. The article describes the approach to solving multi-criteria problems based on the principle of observing the hierarchical ratio of probabilities of possible states of the external environment of the study.