| Title |
Big Data Analysis for Retrofit Projects in Smart Cities |
| ID_Doc |
44022 |
| Authors |
Xie, HY; Shi, W; Choudhary, H; Fu, HL; Guo, XT |
| Title |
Big Data Analysis for Retrofit Projects in Smart Cities |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/ICSGSC.2019.00-28 |
| Abstract |
This paper aims to study the potential of using Big Data Analytics (BDA) in smart cities. Based on case studies, this paper scrutinizes the situations when decision makers implement BDA as a tool for smart cities. The paper studies how Internet of Things, Machine to machine, Big Data and Smart Cities Linkages can help to predict and satisfy the needs of retrofitting projects. The paper includes various pilot projects currently undergoing for making cities smarter along with benefits and limitations when converting the functions of existing facilities. With the focuses of two main areas - Smart Grid and Traffic Congestion Management, this paper makes suggestions on the application guidelines of BDA in retrofit projects for decision makers and city planners. It helps designers and engineers to consider various challenges encountered while implementing Big Data solutions in smart cities. |
| Author Keywords |
Big Data; IoT; Smart City; Smart Grid; Traffic Congestion |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000619356900001 |
| WoS Category |
Computer Science, Theory & Methods; Energy & Fuels; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Energy & Fuels; Engineering |
| PDF |
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