| Title |
BEM: A Framework based on Business Intelligence, Quality of Experience, and Car Park Management. |
| ID_Doc |
43861 |
| Authors |
Araujo, AS; Câmara, B; Docek, F; Gaspar, L; Lopes, Y |
| Title |
BEM: A Framework based on Business Intelligence, Quality of Experience, and Car Park Management. |
| Year |
2020 |
| Published |
|
| DOI |
|
| Abstract |
Smart parking systems can manage real-time city resources, and geo-locally provides them to drivers. It involves on- and off-street parking management; that is why smart parking has been considered promising inception and a leading paradigm of a smart city. The design of a smart city ecosystem, especially on urban mobility, has a tremendous impact on resource status and city capacities. Although its high capacity to work for quality of experience and Business Intelligence, works about smart parking in the literature do not take advantage of this in its proposes. This work proposes the BEM framework that intends to take advantage of the car park Management and improve Quality Experience and Business Intelligence being an essential vector for the advancement of smart cities. A proof of concept was implemented, proving the solution viability. |
| Author Keywords |
Business Intelligence; Quality of Experience; Car Park Management; Framework; Smart Cities |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000615731300071 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology |
| Research Area |
Computer Science; Engineering; Imaging Science & Photographic Technology |
| PDF |
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