Analysis for Large Passenger Flow Area and Monitoring Technology

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...

Full description

Saved in:
Bibliographic Details
Published in2015 IEEE 12th Intl Conf on 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) pp. 1577 - 1581
Main Authors Li Shengguang, Tan Lin, Zhao Shiewei, Zhou Qianli
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2015
Subjects
Big data
contingency plans
Data mining
Histograms
IEEE 802.11 Standard
intelligence analysis
Mobile communication
Monitoring
phone anonymous data
real-time dynamic traffic
Real-time systems
Traffic monitoring
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.286