Abstract

This GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 178 users in a period of over four years (from April 2007 to October 2011). A GPS trajectory of this dataset is represented by a sequence of time-stamped points, each of which contains the information of latitude, longitude and altitude. This dataset contains 17,621 trajectories with a total distance of 1,251,654 kilometers and a total duration of 48,203 hours. These trajectories were recorded by different GPS loggers and GPS-phones, and have a variety of sampling rates. 91 percent of the trajectories are logged in a dense representation, e.g. every 1~5 seconds or every 5~10 meters per point. This dataset recoded 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. 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.

Details

Publication typeManual

Previous versions

Yu Zheng, Xing Xie, and Wei-Ying Ma. GeoLife2.0: A Location-Based Social Networking Service, IEEE Computer Society, May 2009.

Yu Zheng, Xing Xie, and Wei-Ying Ma. Understanding mobility based on GPS data, Association for Computing Machinery, Inc., 21 September 2008.

Yu Zheng, Xing Xie, and Wei-Ying Ma. Mining Interesting Locations and Travel Sequences From GPS Trajectories, Association for Computing Machinery, Inc., 21 April 2009.

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