THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE
Identifying stops and trips from raw GPS traces is a fundamental preprocessing step for most mobility research applications. Thus, ensuring the excellent accuracy of such systems is of high interest to researchers designing such analysis pipelines. While there are plenty of GPS datasets available, t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/443/2022/isprs-archives-XLVIII-4-W1-2022-443-2022.pdf |
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| author | R. P. Spang K. Pieper B. Oesterle M. Brauer C. Haeger S. Mümken P. Gellert J.-N. Voigt-Antons J.-N. Voigt-Antons |
| author_facet | R. P. Spang K. Pieper B. Oesterle M. Brauer C. Haeger S. Mümken P. Gellert J.-N. Voigt-Antons J.-N. Voigt-Antons |
| author_sort | R. P. Spang |
| collection | DOAJ |
| description | Identifying stops and trips from raw GPS traces is a fundamental preprocessing step for most mobility research applications. Thus, ensuring the excellent accuracy of such systems is of high interest to researchers designing such analysis pipelines. While there are plenty of GPS datasets available, these usually do not provide annotations and thus cannot be used for benchmarking stop/trip classifiers easily. This manuscript introduces a GPS & accelerometer dataset, including accurate stop/trip annotations. It contains 122,808 GPS samples as one continuous trajectory, spanning over 126 days. The recorded time frame includes working days, vacations, travelling, everyday life and all regular modes of transportation. During recording, a detailed mobility diary was conducted to capture each dwelling period’s exact beginning and end. The position and diary data combined contain 78,900 labelled stops and 43,908 labelled trips. This serves as ground truth for stop/trip classification algorithms to test existing tools or develop new analysis methods. The introduced dataset is freely available under a CC-By Attribution 4.0 International license, the annotation tool under the BSD 3-Clause license. |
| first_indexed | 2024-04-13T11:21:56Z |
| format | Article |
| id | doaj.art-33a1e78037924e6e951eb46fab6a7f22 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T11:21:56Z |
| publishDate | 2022-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-33a1e78037924e6e951eb46fab6a7f222022-12-22T02:48:48ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-08-01XLVIII-4-W1-202244344810.5194/isprs-archives-XLVIII-4-W1-2022-443-2022THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFER. P. Spang0K. Pieper1B. Oesterle2M. Brauer3C. Haeger4S. Mümken5P. Gellert6J.-N. Voigt-Antons7J.-N. Voigt-Antons8Quality and Usability Lab, Berlin Institute of Technology, Berlin, GermanyQuality and Usability Lab, Berlin Institute of Technology, Berlin, GermanyQuality and Usability Lab, Berlin Institute of Technology, Berlin, GermanyQuality and Usability Lab, Berlin Institute of Technology, Berlin, GermanyInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, GermanyInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, GermanyInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, GermanyUniversity of Applied Sciences Hamm-Lippstadt, GermanyGerman Research Center for Artificial Intelligence (DFKI), Berlin, GermanyIdentifying stops and trips from raw GPS traces is a fundamental preprocessing step for most mobility research applications. Thus, ensuring the excellent accuracy of such systems is of high interest to researchers designing such analysis pipelines. While there are plenty of GPS datasets available, these usually do not provide annotations and thus cannot be used for benchmarking stop/trip classifiers easily. This manuscript introduces a GPS & accelerometer dataset, including accurate stop/trip annotations. It contains 122,808 GPS samples as one continuous trajectory, spanning over 126 days. The recorded time frame includes working days, vacations, travelling, everyday life and all regular modes of transportation. During recording, a detailed mobility diary was conducted to capture each dwelling period’s exact beginning and end. The position and diary data combined contain 78,900 labelled stops and 43,908 labelled trips. This serves as ground truth for stop/trip classification algorithms to test existing tools or develop new analysis methods. The introduced dataset is freely available under a CC-By Attribution 4.0 International license, the annotation tool under the BSD 3-Clause license.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/443/2022/isprs-archives-XLVIII-4-W1-2022-443-2022.pdf |
| spellingShingle | R. P. Spang K. Pieper B. Oesterle M. Brauer C. Haeger S. Mümken P. Gellert J.-N. Voigt-Antons J.-N. Voigt-Antons THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE |
| title_full | THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE |
| title_fullStr | THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE |
| title_full_unstemmed | THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE |
| title_short | THE STAGA-DATASET: STOP AND TRIP ANNOTATED GPS AND ACCELEROMETER DATA OF EVERYDAY LIFE |
| title_sort | staga dataset stop and trip annotated gps and accelerometer data of everyday life |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/443/2022/isprs-archives-XLVIII-4-W1-2022-443-2022.pdf |
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