| Title |
Spatial-Temporal based Integrated Management for Smart City: Framework, Key techniques and Implementation |
| ID_Doc |
38233 |
| Authors |
Chen, NC; Du, WY |
| Title |
Spatial-Temporal based Integrated Management for Smart City: Framework, Key techniques and Implementation |
| Year |
2015 |
| Published |
|
| DOI |
|
| Abstract |
With the rapid development of urban economy and the enormous increase of urban population, a series of problems arise, including safety and security protections of citizens, emergency events responding and management, monitoring and maintaining of urban infrastructures, and urban environment pollution treatment, etc. These problems undoubtedly hinder the development of cities and the quality improvement of residents' lives, whereas a novel and efficient management method is absent for the solving of these problems. This paper proposes the method of spatial-temporal integrated management for smart cities (STIMSC), which is used to manage diverse resources of cities, builds the overall architecture of integrated management, and form an integrated management mode for cities by employing the techniques of collaborative sensing, model web, and intelligent service. The pipe leakage event in Taiyuan, China on June 23, 2014 is chosen as the use case for the validation of STIMSC. Results demonstrate that STIMSC is able to realize the integration of heterogeneous resources in the service-oriented way for decision makers, make effective action plan for enterprises, and gain more evacuation time for residents. STIMSC is of great significance in the efficiency improvement of city management. |
| Author Keywords |
smart city; integrated management; collaborative sensing; model web; intelligent service |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000381472200081 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary |
| Research Area |
Computer Science; Engineering; Geology |
| PDF |
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