METHODOLOGY OF GENERATIVE DESIGN OF URBAN INFRASTRUCTURE OBJECTS ON THE BASIS OF ONTOLOGICAL MODELS

  • SHCHERBAKOV ARTEM G.
  • PARYGIN DANILA S.
  • CHIKIN ARTYOM D.
  • TRUDOV YAROSLAV A.
  • BIKMUKHAMEDOV RENAT R.
Keywords: ONTOLOGIES, GENERAL EDUCATION INSTITUTIONS, ONTOLOGY ENGINEERING, URBAN PLANNING, GENERATIVE DESIGN

Abstract

The article considers the methodology of generative design of urban infrastructure objects on the example of general educational institutions using ontology engineering. Generative design of urban infrastructure objects is an innovative approach to the creation of effective and optimal solutions in the field of urban planning. The proposed methodology initially defines the requirements and goals of facilities creation. Then the steps of developing an ontology model that describes the basic concepts such as object types, classes, territory and infrastructure, as well as the relationships between them are introduced. The normative documentation for the design of certain objects allows the creation of a strictly formalized model that reflects the current conditions and rules for the creation of urban infrastructure. At the final stage of the methodology, generative algorithms are introduced that allow to automate the design of new infrastructure objects based on the specified parameters and rules from the ontological model. Such algorithms, for example, allow generating school building plans and the location of classrooms, taking into account the type of school and the number of students. The process of generative design of urban infrastructure objects using ontology engineering includes optimization and evaluation of the created solutions. The proposed methodology is an iterative process that allows to modify and improve models and algorithms based on the results and feedback. The case study of general education institutions considered in the article demonstrates the effectiveness of such an approach, which takes into account various factors and constraints, and optimizes the use of resources and space.

Published
2023-12-21
Section
DIGITAL URBANISTICS