Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review

Abstract

As urbanization continues to pose new challenges for cities around the world, the concept of smart cities is a promising solution, with artificial intelligence (AI) playing a central role in this transformation. This paper presents a literature review of AI solutions applied in smart cities, focusing on its six main areas: smart mobility, smart environment, smart governance, smart living, smart economy, and smart people. The analysis covers publications from 2021 to 2024 available on Scopus. This paper examines the application of AI in each area and identifies barriers, advances, and future directions. The authors set the following goals of the analysis: (1) to identify solutions and applications using artificial intelligence in smart cities; (2) to identify the barriers to implementation of artificial intelligence in smart cities; and (3) to explore directions of the usage of artificial intelligence in smart cities.

SemConvTree: Semantic Convolutional Quadtrees for Multi-scale Event Detection in Smart City

“…Regular users publish information about their daily life, and organizers of mass events broadcast public content via official pages. This trend makes social networks a valuable data source for various tasks dedicated to analyzing urban processes in Smart Cities [2]. Such data allows the creation of recommendation or crime monitoring systems based on detecting multi-scale events.…”