Title :
Analysis for Large Passenger Flow Area and Monitoring Technology
Author :
Li Shengguang;Tan Lin;Zhao Shiewei;Zhou Qianli
Author_Institution :
First Res. Inst. of the Minist. of Public Security, Beijing, China
Abstract :
Large public spaces have ushered in a large number of daily passenger groups, the public safety faces great pressure. This article focuses on analyzing how to use the Internet of things sensing technology such as video analysis tools, mobile network data, social data and other means, to monitor real-time dynamics flow, speed and density information of large passenger. Then this article discusses the big data analysis and operation of large passenger flow monitoring, so as to establish the early warning system and complete emergency plan.
Keywords :
"Monitoring","IEEE 802.11 Standard","Real-time systems","Histograms","Mobile communication","Big data","Data mining"
Conference_Titel :
Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
DOI :
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.286