Artificial Intelligence and Data Science for Smart Cities
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 246
Special Issue Editor
Special Issue Information
Dear Colleagues,
A smart city is a technologically advanced urban area that improves its residents’ quality of life via the optimal use of resources. Artificial Intelligence (AI) and data science play a pivotal role in the development and sustenance of smart cities. AI enables the efficient management and usage of vast amounts of data generated by various interconnected systems such as security, safety, healthcare, transportation, energy grids, water supply, and other public services. Predictive analytics and machine learning (ML) models can enhance urban planning, reduce traffic congestion, and improve resource allocation. Predictive AI/ML models can monitor real-time data from the Internet of Things (IoT), automating key services and enabling proactive action. For example, such models can reduce congestion by predicting traffic patterns, optimize energy consumption by proactively managing smart grids, enhance public safety by predicting crime hotspots using historical data, and proactively assist in disaster management by predicting environmental changes. Moreover, AI and data analytics in smart cities promote sustainability by improving waste management, reducing energy usage, and enhancing water distribution. Data-driven insights enable a city to implement smart infrastructure solutions that can adapt to changing demands, leading to smarter, more resilient cities. However, the widespread deployment of AI technologies in smart cities poses challenges such as data privacy concerns, cybersecurity risks, scalability issues as the city population grows, fault tolerance requirement due to massive interconnectivity, and equitable access to the benefits of smart city initiatives.
Dr. Bonny Banerjee
Guest Editor
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Keywords
- Internet of Things/Internet of Everything
- cybersecurity
- Edge AI
- predictive analytics
- connected vehicle technologies
- public safety
- smart healthcare
- smart governance
- energy efficiency
- urban sustainability
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