大型集会的人群监测与态势预警分析

doi:10.11959/j.issn.2096-109x.2017.00207

Chinese Journal of Network and Information Security ›› 2017, Vol. 3 ›› Issue (12): 45-53.doi: 10.11959/j.issn.2096-109x.2017.00207

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Population surveillance and trend alert analysis of mass gatherings

Si-wen CHEN^1,^2,³,Yang-dong BIAN⁴,Feng HU^1,^2,³,Chao WANG^1,^2,³()

¹ Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai University,Shanghai 200444,China
² Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication,Shanghai University,Shanghai 200444,China
³ Shanghai Institute for Advanced Communication and Data Science,Shanghai University,Shanghai 200444,China;
⁴ College of Engineering Electrical Engineering Department,Boston University,Boston 02215,America

Revised:2017-12-05 Online:2017-12-01 Published:2018-01-12
Supported by:
The National Natural Science Foundation of China(61572304);The National Natural Science Foundation of China(61272096);The National Natural Science Foundation of China(60970006);The National Natural Science Foundation of China(61332019)

Abstract

Abstract:

Taking the bund stampede in December 31th,2014 as an example,the urgent problems of the population surveillance and trend alert analysis in mass gatherings were proposed:population statistics and the flow density in the scenic,flow and velocity analysis,the judgments of stop-and-go or head-on walking phenomenon inside the local area.In order to provide support for population situation judgment and early warning,emergency response and evacuation in future mass gatherings,the intrinsic defects of the current three principal techniques analysis and the corresponding suggestions were put forward.

Key words: population surveillance, trend alert, visitor location register, the bund stampede, mass gathering

CLC Number:

TN929.5

Si-wen CHEN,Yang-dong BIAN,Feng HU,Chao WANG. Population surveillance and trend alert analysis of mass gatherings[J]. Chinese Journal of Network and Information Security, 2017, 3(12): 45-53.

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References 17

[1]	[EB/OL]. .
[2]	姜莹, 工信部:国内手机用户达12.9亿户 4G用户占比突破10%[EB/OL]. .
	JIANG Y. . MIIT:domestic mobile phone users reached 129 billion and 4G user accounted for more than 10%[EB/OL]. .
[3]	吴松, 雒江涛, 周云峰 . 基于移动网络信令数据的实时人流量统计方法[J]. 计算机应用研究, 2014,31(3): 776-779.
	WU S , LUO J T , ZHOU Y F . Method of real-time traffic statistics using mobile network signaling[J]. Application Research of Computers, 2014,31(3): 776-779.
[4]	陈娜 . 基于位置信息的北京市出行模式研究[D]. 北京：北京交通大学, 2016.
	CHEN N . Position-based resident travel pattern of beijing[D]. Beijing:Beijing Jiaotong University, 2016.
[5]	代鑫, 杨俊宴, 吴浩 . 基于手机信令数据的城市商业中心空间活力研究——以上海为例[C]// 2016中国城市规划年会. 2016.
	DAI X , YANG J Y , WU H . Study on the spatial vitality of urban commercial center based on mobile phone signaling data-take Shanghai as an example[C]// Annual National Planning Conference. 2016.
[6]	钟炜菁, 王德, . 上海市不同类型的城市空间活动动态特征比较——基于手机信令数据的探索[C]// 2016中国城市规划年会. 2016.
	ZHONG W J , WANG D . Comparison of dynamic features of different types of urban spatial activities in Shanghai-based on mobile phone signaling data[C]// The Annual National Planning Conference 2016, 2016.
[7]	胡忠顺, 王进, 朱亮 . 基于手机信令数据的大客流监控应用研究[J]. 电信技术, 2017(4): 21-25.
	HU Z S , WANG J , ZHU L . Study on the large passenger flow monitoring and application based on mobile phone signaling data[J]. Telecommunications Technology, 2017(4): 21-25.
[8]	钟炜菁, 王德, 谢栋灿 ,等. 上海市人口分布与空间活动的动态特征研究——基于手机信令数据的探索[J]. 地理研究, 2017,36(5): 972-984.
	ZHONG W J , WANG D , XIE D C ,et al. Research on the dynamic characteristics of population distribution and spatial activity in Shanghai-based on the exploration of mobile phone signaling data[J]. Geographical Research, 2017,36(5): 972-984.
[9]	FCC Docket . Revision of the commission’s rules to ensure compatibility with enhanced 911 emergency calling systems[S].1996,RM-8143:94-102. 1996,RM-8143: 94-102.
[10]	REED J H . An overview of the challenges and progress in meeting the E-911 requirement of location service[J]. IEEE Communications Magazine, 1998,36(4): 30-37.
[11]	JOHANSSON A . From crowd dynamics to crowd safety:a video-based analysis[J]. Social Science Electronic Publishing, 2008,11(4): 497-527.
[12]	KONG D , . A viewpoint invariant approach for crowd counting[C]// The 18th International Conference on Pattern Recognition (ICPR'06). 2006.
[13]	CONTE D , . Counting moving people in videos by salient points detection[C]// 2010 International Conference on Pattern Recognition. 2010: 1743-1746.
[14]	LI M , . Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection[C]// International Conference on Pattern Recognition. 2008.
[15]	GAO C , LIU J , FENG Q ,et al. People-flow counting in complex environments by combining depth and color information[J]. Multimedia Tools＆Applications, 2016,75(15): 9315-9331.
[16]	ZENG C B , . Robust head-shoulder detection by PCA-based multilevel HOG-LBP detector for people counting[C]// 2010 International Conference on Pattern Recognition. 2010.w
[17]	JOHANSSON A . Pedestrian,crowd and evacuation dynamics[J]. Encyclopedia of Complexity＆Systems Science, 2012,16: 697-716.

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定位算法	定位精度	定位开销	定位速度
TOA/TDOA	40~150 m	低	中
AOA	50~150 m	中	中
GPS	3~50 m	低	慢

Population surveillance and trend alert analysis of mass gatherings

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