基于列车站台Wi-Fi测量的人群密度映射

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI:10.1109/ICSPCS.2018.8631780

F. Tofigh, Guoqiang Mao, J. Lipman, M. Abolhasan

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引用次数: 2

摘要

人群分布在管理和设计层面都是一个具有挑战性的问题。本文提供了一种被动的方法，利用真实场景下的Wi-Fi测量来推导人群密度分布。6个WiFi接入点(AP)部署在悉尼Redfern站2/3站台，监测站台一周。基于RSSI测量和先验知识构建的概率图，计算平台上的人群分布，并将其结果与CCTV图像中获得的分布进行比较。最终的密度热图与闭路电视摄像机获得的结果吻合良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Crowd Density Mapping Based on Wi-Fi Measurements on Train Platforms

Crowd distribution is a challenging issue in the management and design levels. This paper provides a passive method to derive the crowd density distribution using Wi-Fi measurements on a real scenario. Six WiFi access points (AP) are deployed in the platform 2/3 of Redfern station, Sydney to monitor the platform for a week. Based on the probability maps that are built using RSSI measurements and prior knowledge, the crowd distribution is calculated on the platform and its results are compared with distributions acquired from CCTV images. Final density heat maps are in good agreement with the acquired results from CCTV cameras.

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2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)

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