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PmA: a solution for people mobility monitoring and analysis based on WiFi probes

机译:PmA:基于WiFi探针的人员流动性监控和分析解决方案

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The analysis of people mobility in urban contexts is of key importance to tackle major issues in different fields, such as those related to urban planning, citizen safety, telecommunications services planning, public transport service deployment. Such an analysis should provide key indicators, such as crowd density per area of interest, people flows, recurrent mobility patterns, mobility heat maps, just to cite a few. In the present paper, we provide a solution named PmA, which relies on the monitoring of WiFi traffic, which is also solicited through the generation of probe requests. The main features of the solution are the followings: preservation of user privacy, extraction of key metrics on user return and permanence, computation of mobility heat maps. Extensive sessions of monitoring and analysis have been carried out in three different pilots: an university campus during classes, an international fair, and a roundabout.
机译:对城市环境中的人员流动进行分析对于解决不同领域的重大问题至关重要,例如与城市规划,公民安全,电信服务规划,公共交通服务部署有关的那些问题。此类分析应提供关键指标,例如每个感兴趣区域的人群密度,人员流动,经常性出行方式,出行热图,仅举几例。在本文中,我们提供了一种名为PmA的解决方案,该解决方案依赖于对WiFi流量的监视,该解决方案也通过生成探测请求来请求。该解决方案的主要功能如下:保留用户隐私,提取有关用户返回和永久保存的关键指标,计算移动性热点图。在三个不同的飞行员中进行了广泛的监视和分析会议:上课时的大学校园,国际博览会和环形交叉路口。

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