计算机应用研究2026，Vol.43Issue(3)：892-897,6.DOI:10.19734/j.issn.1001-3695.2025.08.0274
一种通用的基于Wi-Fi探针数据的人群密度估计方法
Generalizable crowd density estimation method based on Wi-Fi probe data
摘要
Abstract
With the growing demand for monitoring large-scale crowd gatherings,Wi-Fi-based crowd density estimation has become an important tool in public safety management.Howe ver,the significant variability of received signal strength indicator(RSSI)and MAC address anonymization hinder accurate individual identification.Estimation accuracy and stability remain difficult to guarantee,especially in high-density scenarios.This paper proposed a generalizable crowd density estimation method.It employed a cumula-tive RSSI calculation strategy within a time window and applied local modeling to build regional density mapping relationships.It could capture dynamic variations of crowd flow and ensures stable estimation in complex environments.The experiment shows meter-level spatial resolution with an overall accuracy of 0.972 3 and an accuracy of 0.897 4 in high-density scenarios.The results demonstrate robust performance,strong generalizability,and good potential for deployment in different scenarios.关键词
人群密度估计/无源感知/Wi-Fi探针Key words
crowd density estimation/passive sensing/Wi-Fi probe分类
信息技术与安全科学引用本文复制引用
黄中意,黄仟嬴,房志明,石志钢..一种通用的基于Wi-Fi探针数据的人群密度估计方法[J].计算机应用研究,2026,43(3):892-897,6.基金项目
国家自然科学基金资助项目(52102414,72074149,72374141) （52102414,72074149,72374141）
上海浦江白玉兰人才计划资助项目(2024PJC061) （2024PJC061）
