The content of the cyberphysical approach to the creation, functioning and improvement of transport and production systems is analyzed. It was found out how, on the basis of the approach, cyberphysical transport and production systems are created as the integration of special technologies of the Internet of Things; embedded systems; ubiquitous and cloud computing. It was revealed that cyberphysical transport and production systems have a trinitarian concept and are defined by three entities: communication, computation and control, which unites information. It is determined that the main functions of cyberphysical transport and production systems are: information processing, intelligent communications, performance and process control. A component model of such a system has been built, which includes two groups of components - evolutionary and technological. The evolutionary group of components includes subsystems: digital; integrated; robotic, intelligent distributed. These components are a kind of basis for the presence of prerequisites for the creation of transport and production systems. It is noted that the technology group of components is the basis for concrete implementations of the Internet of Things, embedded systems and ubiquitous and cloud computing. A cyberphysical system of technical service is proposed as a specific implementation of cyberphysical transport and production systems. It was determined that the modes of the proposed functional cyber system are: high adaptability; an appropriate level of efficiency; intelligence of management; high level of reliability; the use of a new on-net online simulation type; using a new type of self-verifying models; internal online optimization, etc. It is shown that the presence of intelligent models in the cyberphysical model of technical service makes the system resistant to cyberattacks and increases the degree of safety when ensuring traffic in transport and the development of an occupational safety system during maintenance and repair operations.

In the work from the theoretical point of view the management of functioning of transport and operation of technical systems on the basis of a method of the system theory of information is substantiated. The state vector and matrix on the basis of diagnostic information and sensitivity of influence of diagnostic parameters on a condition of transport or technical systems are offered. The properties of sensitivity (sensitivity) are reflected on the basis of classical and generalized information formulas of A. Kharkevich, K. Shannon, R. Hartley. The coefficients of quantum (emergence) of information according to the expressions of Shannon-Kharkevich and Hartley are used, the level of complexity of the changed states of the control system is taken into account. The scheme of connections of classical and generalized formulas which reflect functions of density of the diagnostic information on a condition of technical and transport systems is constructed. A universal numerical method and tools for it have been developed, which allows to perform information calculations on the basis of diagnostic data of the state of the studied objects. Numerical calculation refers to the sensitivity of the state (sensitivity factor) of technical and transport systems. The level of system organization of transport and technical systems and their management as active objects is considered. It is noted that the principle of correspondence is fulfilled, which is mandatory for a more general information theory. The system modification is implemented using the Hartley formula, and the modification in the classical case is the Kharkevich formula. It is determined that the semantic information model allows for small samples and comparison of partial criteria to well substantiate the interpretations of object state recognition, developed by the vectors of their classes. It is revealed that the semantic information model combines the advantages of meaningful and statistical models created for the implementation of the automated system of cognitive analysis of transport and technical systems. The behavior of systems is revealed when they are completely deterministic and completely random, which is important in predicting their state.