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Published on: February 1, 2020
Toward integrated smart city: a new model for implementation and design challenges
Houbakht Attaran1, Nahid Kheibari2, Davoud Bahrepour2
1Department of Computer Engineering, Khavaran Institute of Higher Education, Mashhad, Iran.
This study introduces an integrated dynamic graph model for smart cities, enhancing existing structures to ensure integrity, flexibility, and performance for better urban management and disaster prediction.
Area of Science:
- Urban Planning and Information Technology
- Systems Engineering and Architecture
Background:
- Smart city models typically comprise six components but lack integration and comprehensive requirements engineering.
- Existing frameworks struggle with challenges in implementation and integration, leading to imperfect solutions.
- General concepts like security, ICT infrastructure, and knowledge are often not integrated into current smart city structures.
Purpose of the Study:
- To propose an upgraded, integrated smart city model that addresses the limitations of existing frameworks.
- To enhance the integration, requirements engineering, and methodologies for smart city development.
- To provide a flexible, adaptable, and localized solution for smart city management and executive systems.
Main Methods:
- Development of an integrated dynamic graph model for smart city architecture.
- Enhancement of existing six-component smart city models.
- Incorporation of new sub-components and extra-components for a holistic structure.
Main Results:
- The proposed model maintains and improves upon existing smart city structures.
- Ensures integrity, dynamism, flexibility, and performance of smart city operations.
- Facilitates the lifecycle of executive systems and enables prediction/prevention of critical events.
Conclusions:
- The flexible, adaptable, and localized integrated dynamic graph model offers a comprehensive solution for smart cities.
- The model improves smart city integration, requirements engineering, and overall performance.
- Enables proactive management of urban environments, including prediction and prevention of natural disasters and pandemics.
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