The article proposes to use fractal thermodynamics to analyze big data with fractal structure. The need for big data analysis arises in many areas of science and technology when creating databases in economics, medicine, geophysics, astronomy, particle physics and many others. This task is greatly simplified if big data has structural patterns. In this talk, we considered the case when big data forming a set A with a high degree of accuracy are multifractals. The analysis of the fractal structure of the set A was carried out on the basis of the fractal thermodynamics model. Its main methods and approaches are described. As a specific example of the set A, we consider the quantum phase spaces of the instantaneous heart rate Sq, built on the basis of big data on the RR-intervals of daily Holter monitoring of patients from the Tver Regional Clinical Hospital. It is shown that the sets Sq are fractals with a high degree of accuracy and, therefore, the method of fractal thermodynamics is quite applicable for studying their structure.

Currently, the standardization of the thematic layers of the intelligent transport geographic information system is considered to work in a market economy in accordance with the rules of work and the norms of international standardization. Standardization is regarded as an information management tool that provides visualization and location of geo-objects with access to a database. Today it is not enough to strictly follow the requirements of progressive standards-it is necessary to back up the issue of the standard and the provision of services with a safety or quality certificate. The standard of thematic layers in the geographic information system is necessary in terms of streamlining the exchange of data. Developed uniform requirements for the classification and coding of geo-objects on thematic layers and are dictated by the objectives of ensuring the comparability of cartographic information, the unification of forms of its presentation and processing. Conditions have been created for the organization and replenishment of the information database of geo-objects on thematic layers of the intellectual transport geographic information system "ITSGIS".

The article describes the digital transformation of geo-visualization of network-centric management in the environment of the intelligent transport geographic information system ITSGIS with subsequent visualization and deployment of geo-objects of the transport infrastructure on an electronic map. The task of network-centric management of transport objects and processes is considered as a digital transformation with visualization of geo objects of the transport infrastructure. Methods of managing transport objects, processes, and a methodology for conducting a simulation experiment within the framework of a designed decision support system for managing transport infrastructure in local areas of coordinated management are considered. The described intellectual transport geographic information system "ITSGIS" is distinguished by the availability of developed means of supporting the simulation environment, which provide ease of modification and expansion of the range of research tasks based on patterns and neural networks. ITSGIS is based on the digital transformation of geo-visualization of network-centric management, on modern information technology, which combines the possibility of interaction of various geo objects with a database, including transport infrastructure, with data visualization on thematic layers of an interactive geographic electronic map. Certification of the transport network allows you to show in detail the scheme of the settlement, the coverage of roads, the length and status to which this road belongs.