The Spectrum Analysis In The Human Traffic Based On The Hotpot

Human mobility research has attracted attention in many fields.The human traffic distribution has its own unique rules in the different locations and different time distribution.Based on the analysis of human traffic distribution it can be used in improving public services such as urban service,transportation service,health service and preventing congestion,stampede and other unexpected circumstances,even providing reasonable marketing suggestions for different shops.Due to the rapid popularization of mobile Internet technology and the rapid development of intelligent terminals,the technology of wireless detection and the human mobility theory combined with each other ever closer.Mobile terminals via a wireless detection technology(such as WIFI,GPS,CDR,etc.),we can obtain accurate data to the human traffic at a time under the relevant section of a scene,and people flow data for analysis and research.Based on this,firstly we summarize the theory of human mobility and describe the wireless detection technologies and applications.Then based on the theory,we developed and optimized the WIFI-cloud(WICLOUD)Analysis System.Based on this system we successfully achieved the collection of different traffic scenarios servant real-time data,analysis and presentation.Finally,we considered the data of human traffic regarded as time-domain signal and transformed the signal with the different spectral transform method corresponding spectral analysis.Finally we analyzed the regularity and periodicity within the spectrum.In another word we revealed the human mobility from another aspect.The main work in this paper is as follows:Firstly,This paper summarized the related theories about the human mobility and described the principles and features about the wireless technologies in detail.Based on this,we selected some useful applications which combined with the human mobility theories and wireless technologies.Secondly,implement and improve the wireless reality analytics system.The design scheme of wireless reality analytics system combined three parts:collection end of OPENWRT router,analyze end of SPRING MVC architecture,reality shows end wireless systems HTML,CSS,JAVASCRIPE.It implements such as human traffic monitoring,real-time analysis of intelligent terminals brand distribution and anomaly detection and other functions.At the same time,we made certain optimizations to data on wireless Reality system acquisition module,analysis module and page impressions module.Thirdly,select the appropriate spectral analysis methods for human traffic data processing.From the frequency domain perspective to reveal cyclical regularity and crowd activities servant flow distribution in different scenarios,and finally modeling projections based on the characteristic parameters obtained by spectral analysis.