| Title |
Integrating Physical and Social Sensing to Enable Smart City Mobility Services |
| ID_Doc |
38347 |
| Authors |
Qiu, RG; Qiu, L; Badr, Y |
| Title |
Integrating Physical and Social Sensing to Enable Smart City Mobility Services |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
The Internet of Things (IoT) allows objects to be sensed and managed over distributed networks, which creates opportunities for more direct integration between the physical world and computer-based systems. People-centric sensing or social sensing transforms how we sense the world. Today, social sensing, such as sensing via mobile apps, complements physical sensing (e.g., IoT) by substantially extending the horizon we know about the world in real time. This exploratory paper discusses how we can integrate physical and social sensing to enable better and smarter services. With the support of big data technologies, we use city mobility management services to demonstrate the potential of the proposed integration. A framework rather than a complete implementation will be presented. |
| Author Keywords |
Physical sensing; social sensing; big data; smart city; mobility management; integration; sentiment and text analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000393551200141 |
| WoS Category |
Computer Science, Hardware & Architecture; Engineering, Industrial |
| Research Area |
Computer Science; Engineering |
| PDF |
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