Generative design and ontological engineering in urban planning

Introduction. Generative design is a methodology based on the use of algorithms and applications to generate iterative and variable design solutions. It allows analyzing and considering multiple factors such as topography, climatic conditions, human flows, transportation networks and other parameters to develop the best solutions for a specific location. Ontology engineering is concerned with the creation of formal descriptions and models to represent knowledge about the subject area. In urban planning, ontology engineering can be used to create a formal model of a city that integrates information about its physical environment, infrastructure, public spaces and transportation network.

Materials and methods. The realization of the project is based with on machine learning, convolutional neural network in the field of generative design. We describe the process of developing a system for determining and visualizing the optimal location of construction objects in urban planning, using park areas as an example.

Results. The ontological model of CP 475.1325800.2020 “Parks. Rules of urban planning and landscaping”. A method for creating a park area layout using generative design is proposed. An example of the implementation of the proposed method using the Unity cross-platform computer application development environment is given.

Conclusions. By combining generative design and ontology engineering in urban planning, new opportunities arise for designing innovative urban environments. With generative algorithms, ontology models can be used to automatically design and evaluate different urban design options, taking into account the given parameters and goals. This allows to explore a large number of options and find optimal solutions considering multiple factors. The paper analyzes the use of generative design and ontology engineering technologies in the field of urban planning.

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