The Role of AI-Driven Automation in Smart Cities: Enhancing Urban Living through Intelligent System

Authors

  • Iftikhar Bhatti 1Heller School For Social Policy And Management, Brandies University, Waltham, Ma, Usa, Email: Iftikharbhatti@Brandeis.Edu Author
  • Muhammad Waqar University: NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS (NUAA), Dept: ELECTRICAL DEVELOPMENT, email: engr.muhammad.waqar@live.com Author
  • Arbaz Haider Khan Department Of Computer Science , University Of Engineering And Technology Lahore, Email: Arbazhaiderkhan15@gmail.com Author

Keywords:

AI-driven automation, smart cities, urban living, intelligent systems, sustainability, urban planning

Abstract

Abstract: The rapid development of artificial intelligence (AI) and automation technologies is significantly reshaping urban landscapes, offering transformative solutions for managing the complexities of modern cities. AI-driven automation in smart cities has emerged as a critical enabler of efficiency, sustainability, and improved quality of life for urban residents. This paper explores the role of AI in the development and enhancement of intelligent systems within urban environments, focusing on areas such as traffic management, energy efficiency, waste management, and public safety. Through the integration of AI into city infrastructures, these intelligent systems can optimize resources, reduce costs, and improve decision-making processes, contributing to the creation of more livable, resilient, and sustainable urban spaces. Key applications of AI-driven automation include autonomous vehicles, predictive analytics for energy consumption, and AI-powered traffic control systems, which can reduce congestion and enhance transportation efficiency. Additionally, AI-driven waste management systems can optimize waste collection routes, improve recycling rates, and minimize environmental impact. The use of AI in urban planning and management enables real-time data collection and analysis, facilitating better policy-making and adaptive responses to emerging challenges such as climate change, urbanization, and population growth. This paper also highlights the challenges associated with AI adoption in smart cities, including data privacy concerns, cybersecurity risks, and the need for interoperable systems. Moreover, the societal implications of AI-driven automation, including its potential to displace jobs and exacerbate inequalities, are discussed. The future of smart cities will rely on addressing these challenges while leveraging AI’s capabilities to foster sustainable urban growth, improve public services, and enhance the overall quality of life for city dwellers.

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Published

2024-06-10