Browse

This paper presents two AI-based case studies aimed at enhancing data-driven approaches to urban planning in relation to diverse topographical conditions towards sustainable development strategies and new urban typologies. The first case study employed a genetic algorithm to identify optimal spatial arrangements for agriculture, photovoltaic energy generation, and urban structure development. The analysis was conducted across three distinct Slovak topographies: riverlands, mountainous areas, and the existing urban...

The paper outlines the process of data collection and processing undertaken to develop a digital twin of the central region of Bratislava city, focused on evaluating its capacity for generating solar and wind energy on an urban scale. Data sources included airborne laser scanning, provided as 3D point clouds, older existing polygonal 3D models, and other available map documents, which were processed to generate a comprehensive polygonal model with semantic information across different layers as buildings, vegetati...