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{'author': 'Zourlidou, Stefania', 'author_email': 'stefania.zourlidou@ikg.uni-hannover.de', 'citation': [], 'creator_user_id': '17755db4-395a-4b3b-ac09-e8e3484ca700', 'doi': '10.25835/0043786', 'doi_date_published': '2020-09-14', 'doi_publisher': 'LUIS', 'doi_status': 'true', 'domain': 'https://data.uni-hannover.de', 'familyName': 'Zourlidou', 'givenName': 'Stefania', 'have_copyright': 'Yes', 'id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'isopen': False, 'license_id': 'CC-BY-NC-3.0', 'license_title': 'CC-BY-NC-3.0', 'maintainer': 'Jens Golze', 'maintainer_email': 'jens.golze@ikg.uni-hannover.de', 'metadata_created': '2021-10-14T10:16:09.218830', 'metadata_modified': '2024-11-28T13:04:13.018932', 'name': 'luh-trajectory-analysis-at-intersections-for-traffic-rule-identification', 'notes': 'This dataset is a subset of a much larger data collection and used for the analysis of speed- and time-profiles of trajectories crossing different selected intersections. Resulting findings can be used for the intersection categorization according to traffic regulation types.\r\n\r\nThe six selected intersections (A - F) and the crossing trajectory samples (green) can be seen in the subsequent figure:\r\n![Intersections](https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/0571e0e3-19d6-4e45-9da5-6cb932a3d7d7/download/junctionall.png)\r\n\r\n## Data Acquisition\r\nThe trajectory samples were recorded using an android smartphone while driving a car in and around the city of Hannover, Germany. The acquisition period was from December 2017 to March 2019 by only a single person. The recording of the trajectories has taken place without restrictions in order to reflect a normal behavior of everyday car journeys. The sampling rate is approximately 1 sample per second.\r\n\r\n## Related Publications:\r\n* __Zourlidou, S., Sester, M. and Hu, S. (2022):__ Recognition of Intersection Traffic Regulations From Crowdsourced Data. Preprints 2022, 2022070012. DOI: https://doi.org/10.20944/preprints202207.0012.v1\r\n\r\n* __Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, AGILE GIScience Ser., 3, 22, 2022. https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control Recognition with an Attention Mechanism Using Speed-Profile and Satellite Imagery data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022, S. 287–29. https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* __Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ Trajectory analysis at intersections for traffic rule identification. Geo-spatial Information Science, 11(4):1-10. https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., Fischer, C. and Sester, M. (2019):__ Classification of street junctions according to traffic regulators. In: _Kyriakidis, P., Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. Accepted short papers and posters from the 22nd AGILE conference on geo-information science. Cyprus University of Technology 17–20 June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset of the Region of Hannover, Germany. https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth Information for the Chicago Trajectory Dataset. https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic Regulation Information of the Region of Edessa, Greece. https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth Information of the City of Hannover, Germany. https://doi.org/10.25835/cqg0x1el ', 'num_resources': 15, 'num_tags': 5, 'organization': {'id': '9828c497-59fd-47a6-a39f-e9eec9bb8a66', 'name': 'institut-fur-kartographie-und-geoinformatik', 'title': 'Institut für Kartographie und Geoinformatik', 'type': 'organization', 'description': 'Appelstraße 9 a, 30167 Hannover, https://www.ikg.uni-hannover.de/', 'image_url': 'https://www.ikg.uni-hannover.de/fileadmin/_processed_/a/0/csm_IKG_Logo_0680c1122c.png', 'created': '2021-10-14T10:15:58.271235', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '9828c497-59fd-47a6-a39f-e9eec9bb8a66', 'private': False, 'repository_name': 'Leibniz University Hannover', 'services_used_list': '', 'source_metadata_created': '2020-09-10T06:44:32.618481', 'source_metadata_modified': '2024-04-05T14:23:04.510524', 'state': 'active', 'terms_of_usage': 'Yes', 'title': 'Speed profiles 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trip_id\r\n* date\r\n* timestamp\r\n* unixtime\r\n* northutm\r\n* eastutm\r\n* speed', 'format': 'CSV', 'hash': '', 'id': '7d20ecb4-4e5d-4e00-a052-279a82d6098c', 'last_modified': '2020-09-14T09:30:23.171516', 'metadata_modified': '2024-11-28T13:04:13.024082', 'mimetype_inner': None, 'name': 'JunctionB.csv', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 7, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/7d20ecb4-4e5d-4e00-a052-279a82d6098c/download/b.csv', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T09:28:41.054344', 'Media type': 'text/csv', 'Size': 135449, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': 'Contains all crossing trajectories of __intersection C__ with the following structure:\r\n\r\n* gid\r\n* track_id\r\n* trip_id\r\n* date\r\n* timestamp\r\n* unixtime\r\n* northutm\r\n* eastutm\r\n* speed', 'format': 'CSV', 'hash': '', 'id': '80fc1fbd-28d8-4e49-afa0-8a29dbc58840', 'last_modified': '2020-09-14T09:30:38.233091', 'metadata_modified': '2024-11-28T13:04:13.024181', 'mimetype_inner': None, 'name': 'JunctionC.csv', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 8, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/80fc1fbd-28d8-4e49-afa0-8a29dbc58840/download/c.csv', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T09:30:38.269882', 'Media type': 'text/csv', 'Size': 72674, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': 'Contains all crossing trajectories of __intersection D__ with the following structure:\r\n\r\n* gid\r\n* track_id\r\n* trip_id\r\n* date\r\n* timestamp\r\n* unixtime\r\n* northutm\r\n* eastutm\r\n* speed', 'format': 'CSV', 'hash': '', 'id': '5eccd8be-3eea-493c-a0c8-ab8d9cc19824', 'last_modified': '2020-09-14T09:30:53.681769', 'metadata_modified': '2024-11-28T13:04:13.024279', 'mimetype_inner': None, 'name': 'JunctionD.csv', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 9, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/5eccd8be-3eea-493c-a0c8-ab8d9cc19824/download/d.csv', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T09:30:53.716147', 'Media type': 'text/csv', 'Size': 36046, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': 'Contains all crossing trajectories of __intersection E__ with the following structure:\r\n\r\n* gid\r\n* track_id\r\n* trip_id\r\n* date\r\n* timestamp\r\n* unixtime\r\n* northutm\r\n* eastutm\r\n* speed', 'format': 'CSV', 'hash': '', 'id': '2b5e9501-de55-4674-9c8b-ca5a935caac7', 'last_modified': '2020-09-14T09:31:07.022810', 'metadata_modified': '2024-11-28T13:04:13.024377', 'mimetype_inner': None, 'name': 'JunctionE.csv', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 10, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/2b5e9501-de55-4674-9c8b-ca5a935caac7/download/e.csv', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T09:31:07.055625', 'Media type': 'text/csv', 'Size': 249045, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': 'Contains all crossing trajectories of __intersection F__ with the following structure:\r\n\r\n* gid\r\n* track_id\r\n* trip_id\r\n* date\r\n* timestamp\r\n* unixtime\r\n* northutm\r\n* eastutm\r\n* speed', 'format': 'CSV', 'hash': '', 'id': 'b7455de0-4497-443f-a74b-fe2993c9154a', 'last_modified': '2020-09-14T09:31:21.980449', 'metadata_modified': '2024-11-28T13:04:13.024474', 'mimetype_inner': None, 'name': 'JunctionF.csv', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 11, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/b7455de0-4497-443f-a74b-fe2993c9154a/download/f.csv', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T09:31:22.014936', 'Media type': 'text/csv', 'Size': 241182, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': 'Contains the __ground-truth__ information for each intersection A-F with the following structure:\r\n\r\n* intersection\r\n* 3 / 4 (3-way / 4-way)\r\n* trajectory samples\r\n* regulator type', 'format': 'CSV', 'hash': '', 'id': '27a9afa2-eedb-441e-b205-74255ac42bc0', 'last_modified': '2020-09-14T10:07:00.995272', 'metadata_modified': '2024-11-28T13:04:13.024573', 'mimetype_inner': None, 'name': 'junction_info.csv', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 12, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/27a9afa2-eedb-441e-b205-74255ac42bc0/download/junction_info.csv', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T10:07:01.038672', 'Media type': 'text/csv', 'Size': 180, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': '', 'format': 'PNG', 'hash': '', 'id': '0571e0e3-19d6-4e45-9da5-6cb932a3d7d7', 'last_modified': '2020-09-14T12:09:36.774947', 'metadata_modified': '2024-11-28T13:04:13.024670', 'mimetype_inner': None, 'name': 'JunctionALL.png', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 13, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/0571e0e3-19d6-4e45-9da5-6cb932a3d7d7/download/junctionall.png', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2020-09-14T12:09:36.824259', 'Media type': 'image/png', 'Size': 943068, 'has_views': True}, {'cache_last_updated': None, 'cache_url': None, 'description': '', 'format': 'PDF', 'hash': '', 'id': 'bccc9785-e6bc-410e-bac7-0c9e726409d3', 'last_modified': '2022-08-02T07:39:01.327214', 'metadata_modified': '2024-11-28T13:04:13.024766', 'mimetype_inner': None, 'name': 'ReadMe.pdf', 'package_id': '1a97c0df-4659-43bd-99e9-d2573d31f5cd', 'position': 14, 'resource_type': None, 'state': 'active', 'url': 'https://data.uni-hannover.de/dataset/1a97c0df-4659-43bd-99e9-d2573d31f5cd/resource/bccc9785-e6bc-410e-bac7-0c9e726409d3/download/readme.pdf', 'url_type': '', 'tracking_summary': {'total': 0, 'recent': 0}, 'Created': '2022-08-02T07:39:01.379887', 'Media type': 'application/pdf', 'Size': 81319, 'has_views': False}] |
session |
{'_domain': None, '_path': '/', '_accessed_time': 1732799929.605392, '_creation_time': 1732799929.605392} |
ungettext |
<function ungettext at 0x7fab5610d280> |