In this article, the actual topic of project activities in the framework of the modernization of higher education in Cambodia. In this article, we analyzed the situation due to which among recent university graduates there is a shortage of highly qualified personnel in such areas as agriculture, exact sciences, mechanical engineering and manufacturing. We also studied information about the largest university in the country - Queen Phnom Penh University.

Keywords: higher education, modernization, innovation, Cambodia, Russia

In this paper, the task of territorial planning of road transport enterprises is considered, taking into account modern requirements for the development of the urban environment. Methods for solving problems of territorial planning using geographic information technologies are highlighted. The work identified the factors of placement inherent in this subject area and characterized by spatial, temporal, pragmatic characteristics. Given the spatial nature of the task and the input data, it is proposed to use geoinformation modeling as an effective means of solving problems, which are based on geodata. The model of a geographic information system is presented as a combination of a model of visualization and consideration of spatial distribution factors, including sets of production rules. This model also contains a block of regulatory data that regulates the process of land use and allows us to evaluate the suitability of a particular site. The process of visual analysis is described and the main elements of the visualization model are identified. The totality of the data components of the geo-information model makes it possible to take into account heterogeneous information, conduct its complex analysis and make better decisions.

Keywords: geoinformation modeling, spatial planning, automobile transportation company, visualization, location factor

This work is devoted to the modeling of the fuzzy assessment of the impact of human factors in emergency situations in industrial activity. Relevance of the research lies in the uncertainty, heterogeneity and uncertainties of the input data, on the basis of which it is necessary to assess the impact of human factors in emergency situations. The article describes the main stages of the fuzzy modeling: fuzzification of input data, the construction of inference rules and defuzzification of the output variable. The proposed base of fuzzy inference rules include input linguistic variables, fuzzy rule-production and output linguistic variable. The constructed model allows us to estimate the degree of influence of the human factor in the conditions of uncertainty and subjectivity.

Keywords: linguistic variable, fuzzy modeling, human factors, fuzzy rule-production