Intelligent Computing for Sustainable Smart Cities

Dear Colleagues,

This Special Issue titled “Intelligent Computing for Smart Cities” covers a variety of research that applies the latest artificial intelligence and computing technologies to improve urban efficiency and quality of life. It explores innovative technologies and methodologies related to the design, development, management, maintenance, and security of smart cities. It is designed for researchers, policymakers, engineers, and urban planners who are involved in the development and implementation of smart city initiatives. It aims to provide valuable insights and foster collaboration to advance the field of intelligent computing in urban contexts. By addressing these themes, this Special Issue seeks to contribute to the development of smarter, more efficient, and sustainable cities, ultimately improving the quality of life for urban residents.

1. Smart infrastructure:

• Use of Internet of Things (IoT) devices and sensors for real-time data collection and analysis.

• Intelligent management of urban infrastructure such as transportation systems, power grids, and water resources.

2. Data analytics and predictive modeling:

• Leveraging big data analytics to solve urban issues and support decision-making processes.
• Utilizing machine learning and deep learning to predict urban phenomena and trends.

3. Intelligent transportation systems:

• Development of autonomous vehicles and vehicle-to-everything (V2X) communication technologies.
• Algorithms for optimizing traffic flow and reducing congestion.

4. Energy management:

• Integration of smart grids and renewable energy sources.
• Systems to enhance energy efficiency and manage consumption intelligently.

5. Public safety and security:

• Implementation of smart surveillance systems and emergency response management.
• Cybersecurity and data privacy protection in smart city applications.

6. Environmental monitoring and management:

• Monitoring of air quality, noise levels, temperature, and other environmental parameters.
• Solutions for environmental protection and sustainability.

7. Smart healthcare:

• Development of telemedicine and remote health monitoring systems.
• Use of public health information, genetic data, and medical records for developing risk prediction models and providing healthcare services.

Dr. Junho Jeong
Prof. Dr. Jin-Woo Jung
Dr. Seungmin Oh
Guest Editors

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