PmA:基于WiFi探针的人员移动监控与分析解决方案

Marco Uras, Raimondo Cossu, L. Atzori
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引用次数: 14

摘要

分析城市背景下的人口流动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、公共交通服务部署相关的问题。这样的分析应该提供关键指标,例如每个感兴趣区域的人口密度、人口流动、经常性流动模式、流动热图等。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流量的监控,并且通过生成探测请求来请求。该解决方案的主要特点是:保护用户隐私,提取用户返回和持久性的关键指标,计算移动热图。在三个不同的试点项目中进行了广泛的监测和分析:课堂上的大学校园、国际博览会和环形交叉路口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PmA: a solution for people mobility monitoring and analysis based on WiFi probes
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.
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