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）由24名用户参与采集，采集周期长达9个月，时间跨度为2018年9月12日至2019年5月23日。本数据集的全球定位系统（GPS）轨迹由带时序戳的连续点位构成，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字段。本数据集共计包含4,151,237条轨迹，总行驶里程约3124.66千米，总时长逾389小时。此类轨迹均通过AndroSensor App采集录制，该应用是一款全能型设备诊断工具，可使用户全面掌握自身设备状态，并支持用户按照自身偏好，将设备传感器采集的所有数据记录并保存为CSV（Comma-Separated Values）格式文件。因此，本次采集允许志愿者自主选择需记录并共享的个人属性信息。本数据集涵盖了用户多样化的户外出行轨迹，不仅包含上下班、归家等日常通勤与生活轨迹，还涵盖购物、观光、聚餐、徒步、骑行等休闲娱乐与体育活动轨迹，同时也包含部分外勤出行记录。该轨迹数据集可应用于诸多研究领域，例如移动模式挖掘、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方向。