Mobility Data

This Spatio-temporal dataset is collected from 24 users over 9 months (dating 12 September 2018 to 23 May 2019). A GPS trajectory of this dataset is represented by sequential time-stamped points, each comprising of latitude, longitude, timestamps, and 33 other different sensor attributes. This dataset contains 41,51,237 trajectories with a total distance of about 3124.66 kilometres and a total duration of 389+ hours. These trajectories are recorded using AndroSensor App which is an absolute all-in-one diagnostic tool that lets user know virtually everything about their device status and allows them to record everything from their sensors into a CSV file according to their preferences. So, we let volunteers choose what attribute of themselves they want to record and share with us. This dataset recorded a broad range of users’ outdoor movements, including not only life routines like go home and go to work but also some entertainments and sports activities, such as shopping, sightseeing, dining, hiking, and cycling and also includes some fieldwork movements. This trajectory dataset can be used in many research fields, such as mobility pattern mining, user activity recognition, location-based social networks, location privacy, and location recommendation.本时空数据集（Spatio-temporal dataset）面向24名用户采集，采集周期为9个月，时间跨度自2018年9月12日至2019年5月23日。该数据集的GPS轨迹由一系列带时间戳的点位序列构成，每个点位包含纬度、经度、时间戳以及另外33种不同的传感器属性。本数据集共包含41,51,237条轨迹，总行驶里程约3124.66公里，总时长超过389小时。上述轨迹通过AndroSensor应用程序采集，该程序是一款全能型设备诊断工具，可让用户全面掌握设备状态，并支持用户根据自身偏好将传感器采集的各类数据导出为CSV文件。本次采集过程中，我们允许志愿者自主选择需要记录并共享的个人属性数据。本数据集记录了覆盖范围广泛的用户户外移动行为，既包含通勤往返、日常居家出行等生活场景，也涵盖购物、观光、用餐、徒步、骑行等娱乐与体育活动，同时还包含部分外勤移动轨迹。该轨迹数据集可应用于诸多研究领域，包括移动模式挖掘、用户活动识别、基于位置的社交网络、位置隐私保护以及位置推荐等。