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- Title
Cloud-Assisted Mobile Crowd Sensing for Traffic Congestion Control.
- Authors
Yan, Hehua; Hua, Qingsong; Zhang, Daqiang; Wan, Jiafu; Rho, Seungmin; Song, Houbing
- Abstract
With the development of mobile cloud computing, wireless communication techniques, intelligent mobile terminals, and data mining techniques, Mobile Crowd Sensing (MCS) as a new paradigm of the Internet of Things can be used in traffic congestion control to provide more convenient services and alleviate the traffic problems. In this paper, we propose a cloud-assisted MCS architecture for urban transportation system. Then, we make the case for cloud-assisted MCS traffic congestion control by sensing data obtained continuously from a large set of smartphones carried by drivers. In this case, we consider a Mechanism of more Contributions and more Feedback Services (MCFS) to recruit, engage, and retain the participants. Finally, we pay close attention to the issues and challenges, including system architecture, resource limitations, and security and privacy.
- Subjects
MOBILE communication systems; CLOUD computing; WIRELESS communications; DATA mining; INTERNET of things; CROWDSENSING
- Publication
Mobile Networks & Applications, 2017, Vol 22, Issue 6, p1212
- ISSN
1383-469X
- Publication type
Article
- DOI
10.1007/s11036-017-0873-2