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Estimation of mobility direction of a people flux by using a live 3G radio access network and smartphones in non-connected mode

机译:使用Live 3G无线电接入网络和非连接模式下的智能手机估计人员通量的移动方向

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A new methodology to statistically analyze the flux mobility of people in a city is described. Cellular phones are exploited to collect statistical information about the radio base station (RBS) cells of the Telecom Italia 3G radio access network (UTRAN), which they use to camp on. Finally, big data (BD) elaboration allows statistical analysis of all active phones, showing the main mobility directions of people within a city. Such topological information is useful in the concept of smart city, where the ability to locate peak or daily flux of people can be utilized by public institutions or private entities, to be aware of polluted areas and thus reduce congestion of urban areas and viability zones. It is worth to remark that it's not necessary to monitor the whole network and all users with continuity. The monitoring is needed to extract data just for the minimum time required to have a statistical significance. The focus is not on the single user's behavior, but rather on the massive flux of people.
机译:描述了一种统计分析城市中人们的助推性的新方法。蜂窝电话被利用以收集有关电信ITALIA 3G无线电接入网络(UTRAN)的无线电基站(RBS)单元的统计信息,它们用于营地。最后,大数据(BD)阐述允许对所有有效手机进行统计分析,显示城市内人员的主要流动方向。这种拓扑信息在智能城市的概念中是有用的,其中可以通过公共机构或私人实体定位人们峰值或每日通量的能力,从而了解污染区域,从而减少城市地区和活力区域的拥堵。值得注意的是,没有必要监控整个网络和所有具有连续性的用户。需要监控以获得具有统计显着性所需的最短时间的数据。重点不是单一用户的行为,而是对人的大规模通量。

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