A method for generating three-dimensional models of urban environment objects using attributive information from a digital map is described. Algorithms for automating the process of modeling objects of the urban environment are presented. A flexible and expanding structure is proposed that allows generating both types of objects already available in the classifier, as well as new ones added by the user.

The paper presents methods for optimizing the process of visualization of the urban environment model based on the characteristics of its presentation. Various approaches are described which provide a reduction in computational complexity in visualizing threedimensional models that can optimize the display of their geometry and the amount of video memory used. Methods are considered that allow optimizing both the scene as a whole and its individual components.