Utilization of Artificial Intelligence techniques in the development of City Information Models (CIM)

Resumo

This paper presents an investigation into the application of computational intelligence techniques, optimization, and data modeling in the development of CIM models. CIM is a concept that seeks to integrate information and data related to a city into a three-dimensional digital model, allowing for a detailed and dynamic representation of the urban environment. However, dealing with large volumes of data and optimizing the efficiency of urban operations is a complex challenge. To address this challenge, this article proposes the use of artificial intelligence techniques, such as machine learning algorithms and artificial neural networks. These techniques are capable of handling large-scale problems, finding optimal or approximate solutions, and dealing with uncertain or imprecise data. The article explores the different applications of computational intelligence techniques in the optimization and data modeling of CIM through the development of a systematic literature review (SLR) and the application of the Design Science Research (DSR) method to discuss the relationship between these technologies and CIM.