室内定位数据集

室内定位数据集主要面向旅客室内定位研究，由于现有的蓝牙定位数据的数据量过少，无法捕获旅客的走行轨迹，因此无法根据蓝牙定位数据研究旅客在航站楼内部的走行规律。首都机场现有的WiFi数据较为充足，可以根据旅客连接WiFi的时间推导旅客在各区域的停留时间，为以后研究旅客的候机规律和预测各候机区的拥挤程度奠定基础。

This indoor positioning dataset is primarily intended for passenger indoor positioning research. Existing Bluetooth positioning data has insufficient volume, failing to capture the walking trajectories of passengers, thus making it impossible to study the walking patterns of passengers within the terminal building based on such Bluetooth data. The sufficiently abundant available WiFi data from Beijing Capital International Airport enables deriving the dwell duration of passengers in each area based on the timestamps of their WiFi connection events. This lays a solid foundation for future research on passengers' waiting patterns and the prediction of congestion levels in various terminal waiting zones.

搜集汇总

背景与挑战

背景概述

该室内定位数据集由南京航空航天大学发布，主要用于研究旅客在航站楼内的走行规律和候机行为，包含475.07MB的WiFi定位数据，共870个文件。数据集支持国家重点研发计划项目'超大型空港综合交通高效运行与智能服务关键技术及示范应用'。