Affiliation:
1. E.G.S. Pillay Engineering College, India
2. SASTRA University (Deemed), India
3. De Montfort University, UK
Abstract
Artificial intelligence (AI) in smart urban solutions offers benefits like efficient energy/water management, and reduced pollution, noise, and traffic. Challenges include data reliability, third-party dependence, and skill shortages. AI operates via data-driven processes and intelligent algorithms, enabling machines to learn, adapt, and perform human-like tasks. This chapter explores AI's role, applications, and challenges in smart cities, focusing on gathering and disseminating intelligence. It provides insights into AI's significance in shaping smart cities for enhanced social awareness and connectivity. This chapter aims to explore the role of AI, its applications, and the challenges inherent in the concepts and technologies associated with AI in smart cities. Specifically, it focuses on AI's contribution to gathering and disseminating intelligence in smart urban environments. Through this analysis, the paper seeks to provide insights into AI's significance in shaping smart cities for enhanced social awareness and connectivity.
Reference12 articles.
1. A critical perspective on guidelines for responsible and trustworthy artificial intelligence
2. Cugurullo, F. (2020). Urban artificial intelligence: From automation to autonomy in the smart city. Frontiers in Sustainable Cities. Gartner.
3. GeislerK. (2013). The relationship between smart grids and smart cities. IEEE Smart Grid Newsletter.
4. Huitema, G. B., Veen, A. van der, Georgiadou, V., Vavallo, M., & Garcia, M. A. (2020). Demand-Response Optimization in Buildings and Energy Communities, a Case in Value Stacking. Multidisciplinary Digital Publishing Institute Proceedings, 65(1)
5. Luckey, D., Fritz, H., Legatiuk, D., Dragos, K., & Smarsly, K. (2020). Artificial intelligence techniques for smart city applications. International Conference on Computing in Civil and Building Engineering, (pp. 3–15). Research Gate.