Data Mining and Artificial Intelligence for Urban Informatics in Smart City
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 141
Special Issue Editors
Interests: path planning; logistics scheduling; smart city; intelligent transportation system; reinforcement learning; multi-objective optimization
Special Issue Information
Dear Colleagues,
With the accelerating process of urbanization, smart cities have started to represent an important direction for future urban development. In this context, the application of data mining and artificial intelligence (AI) technologies plays a crucial role in the development of smart cities. The application of data mining and AI technologies in the field of smart city informatics covers various aspects, including disaster warning, transportation, route planning, logistics scheduling, and more. Through the application of these technologies, urban management and service levels can be effectively improved, thereby achieving the goal of sustainable urban development. This Special Issue aims to explore the application of data mining and AI in smart cities, delve into the challenges faced in the development of smart cities, and propose solutions. The suggested topics related to this Special Issue include, but are not limited to, the following:
- The optimization and management of smart city logistics dispatching systems;
- Algorithm research on traffic flow prediction;
- Disaster warning systems and response strategies in smart cities;
- Research on artificial-intelligence-based vehicle routing algorithms;
- The optimization of waste recycling processes based on artificial intelligence and data mining;
- Urban supply chain risk management under epidemic conditions;
- Reinforcement-learning-based traffic signal control at intersections.
Prof. Dr. Yunyun Niu
Prof. Dr. Jianhua Xiao
Guest Editors
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Keywords
- route planning
- traffic management
- waste management
- supply chain
- disaster warning
- artificial intelligence
- data mining
- smart city
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