Situational model of decision-making system based on environmental monitoring data in the conditions of urban development

The paper presents a model of a decision-making system based on environmental monitoring. Air pollution in modern cities is a very urgent problem that is solved at various levels of management. The largest source of pollution is the road network. However, managing traffic flows within urban areas is an impossible or difficult task because of the existing infrastructure of the city. Therefore, we propose a system that, based on the results of training in existing cities, will form recommendations for the development of urban areas, taking into account the level of air pollution. The paper proposes a fuzzy system for supporting decision-making in the conditions of urban development. The article shows the formation of a knowledge base based on retrospective data to improve the accuracy of forecasting, as well as from the simulation environment for increasing the speed of sensing. Ranked recommendations for reduction of pollution of atmospheric air under conditions of development of urban areas. In the fuzzy situational model, a method is proposed for selecting the closest, equal situation from the knowledge base, taking into account the maximum value of the degree of belonging. The developed models can be used as a means of improving the quality of management and decision-making in the conditions of urban development.

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