A pedestrian flow analysis system using Wi-Fi packet sensors to a real environment

Yuuki Fukuzaki, N. Nishio, M. Mochizuki, Kazuya Murao
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引用次数: 50

Abstract

The authors have been developing the system, which analyzes pedestrian flow using Wi-Fi packet sensors. The sensors collect Wi-Fi packet called probe request packet, which is transmitted from a smartphone to search Wi-Fi access points. In addition, the cloud storage server is running to manage observed packets centrally and to compute pedestrian flow in real time. Additionally, user movement history is vitally important and we have to pay close attention to handling that kind of data. Therefore, the system runs with an anonymization method and a cryptographic function. Some kinds of demonstration experiments were held in real environment. As a result, it was confirmed that we can analyze the rough tendency of pedestrian flow using the present system and simple analysis methods.
一个利用Wi-Fi数据包传感器对真实环境进行行人流量分析的系统
作者一直在开发该系统,该系统使用Wi-Fi数据包传感器分析行人流量。传感器收集被称为探测请求包的Wi-Fi数据包,该数据包从智能手机传输到搜索Wi-Fi接入点。同时运行云存储服务器,对观察到的数据包进行集中管理,实时计算人流量。此外,用户移动历史非常重要,我们必须密切注意处理这类数据。因此,系统以匿名化方式和加密功能运行。在实际环境中进行了几种演示实验。结果表明,利用现有的系统和简单的分析方法可以对行人流量的大致趋势进行分析。
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