NDLI: Mobile Big Data Meets Cyber-Physical System Mobile Crowdsensing based Cyber-Physical System for Smart Urban Traffic Control

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Mobile Big Data Meets Cyber-Physical System Mobile Crowdsensing based Cyber-Physical System for Smart Urban Traffic Control

Content Provider	Semantic Scholar
Author	Wang, Yu Ge, Yong Wang, Weichao
Copyright Year	2015
Abstract	The sheer number of user-companioned mobile devices (especially smartphones) and their inherent mobility and social interactions among devices enable a new and fast-growing mobile big data paradigm: the ability to acquire local knowledge through sensor-enhanced mobile devices (e.g., location, personal and surrounding context, noise level, traffic conditions and other information), and the possibility to share such knowledge within the global social sphere via mobile and online social networks. The information collected on the ground combined with data from online social media plus the support of the mobile cloud make the real-time analysis of the large amount of mobile sensing data a versatile platform that can possibly replace static sensing infrastructures in traditional cyber-physical systems (CPS), and enable a broad range of CPS applications. In this position paper, we introduce a new mobile crowdsensing based cyber-physical system where mobile big data from both sensor-enhanced smartphones and mobile social media is collected, analyzed, interpreted, and appropriately leveraged for smart and accurate control in a transportation cyber-physical system. Here, we use traffic control as a case study to illustrate the power of this new mobile crowdsensing approach for the design of cyber-physical systems.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://webpages.uncc.edu/ywang32/research/CPS-MCS15.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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