Mobile Networks and Applications

, Volume 22, Issue 6, pp 1212–1218 | Cite as

Cloud-Assisted Mobile Crowd Sensing for Traffic Congestion Control

  • Hehua Yan
  • Qingsong Hua
  • Daqiang Zhang
  • Jiafu WanEmail author
  • Seungmin Rho
  • Houbing Song


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.


Mobile crowd sensing Urban transportation Cloud computing 



This work was supported by the Natural Science Foundation of Guangdong Province (Nos. 2016A030313734, 2015A030313746, and 2016A030313735), the Research Fund Program of Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing (CIMSOF2016004), the Fundamental Research Funds for the Central Universities (No. 2015ZZ079), the Major Projects for Numerical Control Machine (2015ZX04005001), and the National Natural Science Foundation of China (No. 61572220).


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Hehua Yan
    • 1
  • Qingsong Hua
    • 2
  • Daqiang Zhang
    • 3
  • Jiafu Wan
    • 4
    Email author
  • Seungmin Rho
    • 5
  • Houbing Song
    • 6
  1. 1.Guangdong Mechanical and Electrical CollegeGuangzhouChina
  2. 2.School of Mechanical and Electrical EngineeringQingdao UniversityQingdaoChina
  3. 3.School of Software EngineeringTongji UniversityShanghaiChina
  4. 4.Guangdong Provincial Key Laboratory of Precision Equipment and Manufacturing TechnologySouth China University of TechnologyGuangzhouChina
  5. 5.Department of MultimediaSungkyul UniversityAnyangSouth Korea
  6. 6.Department of Electrical and Computer EngineeringWest Virginia UniversityMorgantownUSA

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