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{
            
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  "author": "Zourlidou",
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  "author": " S. Zourlidou",
            
3
  "author_email": "stefania.zourlidou@ikg.uni-hannover.de",
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  "author_email": "stefania.zourlidou@ikg.uni-hannover.de",
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "doi": "10.25835/0vifyzqi",
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  "doi": "10.25835/0vifyzqi",
            
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  "doi_date_published": "2022-02-10",
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  "doi_date_published": "2022-02-10",
            
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  "doi_publisher": "LUIS",
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  "doi_publisher": "LUIS",
            
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  "doi_status": "true",
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  "doi_status": "true",
            
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  "domain": "https://data.uni-hannover.de",
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  "domain": "https://data.uni-hannover.de",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
n
12
      "extra_author": " S."
n

            
13
    },

            
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    {

            
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      "extra_author": " Golze"
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      "extra_author": " J. Golze",
            
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
n
18
      "extra_author": " J. and Sester"
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16
      "extra_author": " M. Sester",
            
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    },
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      "orcid": ""
            
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    {

            
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      "extra_author": " M."

            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "have_copyright": "Yes",
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  "have_copyright": "Yes",
            
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  "id": "bb417008-4b1c-45f9-8e7a-d13398de4374",
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  "id": "bb417008-4b1c-45f9-8e7a-d13398de4374",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "CC-BY-NC-3.0",
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  "license_id": "",
            
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  "license_title": "CC-BY-NC-3.0",
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  "license_title": "",
            
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  "maintainer": "Jens Golze",
26
  "maintainer": "Jens Golze",
            
31
  "maintainer_email": "jens.golze@ikg.uni-hannover.de",
27
  "maintainer_email": "jens.golze@ikg.uni-hannover.de",
            
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  "metadata_created": "2023-01-12T13:14:14.806022",
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  "metadata_created": "2023-01-12T13:14:14.806022",
            
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  "metadata_modified": "2023-08-04T08:46:31.837983",
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29
  "metadata_modified": "2024-02-16T14:22:51.110357",
            
34
  "name": "luh-groundtruth-intersection-regulators-for-chicago",
30
  "name": "luh-groundtruth-intersection-regulators-for-chicago",
            
35
  "notes": "This dataset contains the ground-truth intersection 
31
  "notes": "This dataset contains the ground-truth intersection 
            
36
regulators for all intersections crossed by the open GPS trajectory 
32
regulators for all intersections crossed by the open GPS trajectory 
            
37
data of Chicago, published on 
33
data of Chicago, published on 
            
38
[Mapconstruction.org](http://mapconstruction.org).\r\n\r\n## Data 
34
[Mapconstruction.org](http://mapconstruction.org).\r\n\r\n## Data 
            
39
Acquisition\r\nThe ground-truth data is generated by manually 
35
Acquisition\r\nThe ground-truth data is generated by manually 
            
40
inspecting images at the intersections crossed by the published 
36
inspecting images at the intersections crossed by the published 
            
41
trajectory dataset on 
37
trajectory dataset on 
            
42
[Mapconstruction.org](http://mapconstruction.org). These images are 
38
[Mapconstruction.org](http://mapconstruction.org). These images are 
            
43
derived from [mapillary.com](https://www.mapillary.com/) at the 
39
derived from [mapillary.com](https://www.mapillary.com/) at the 
            
44
respective intersections. Satellite images are investigated as an 
40
respective intersections. Satellite images are investigated as an 
            
45
additional data source, if needed. This procedure result in labels for 
41
additional data source, if needed. This procedure result in labels for 
            
46
each intersection arm.\r\n\r\n## Related Publications:\r\n* 
42
each intersection arm.\r\n\r\n## Related Publications:\r\n* 
            
47
__Zourlidou, S., Sester, M. and Hu, S. (2022):__ Recognition of 
43
__Zourlidou, S., Sester, M. and Hu, S. (2022):__ Recognition of 
            
48
Intersection Traffic Regulations From Crowdsourced Data. Preprints 
44
Intersection Traffic Regulations From Crowdsourced Data. Preprints 
            
49
2022, 2022070012. DOI: 10.20944/preprints202207.0012.v1\r\n\r\n* 
45
2022, 2022070012. DOI: 10.20944/preprints202207.0012.v1\r\n\r\n* 
            
50
__Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation 
46
__Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation 
            
51
Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, 
47
Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, 
            
52
AGILE GIScience Ser., 3, 22, 2022. 
48
AGILE GIScience Ser., 3, 22, 2022. 
            
53
https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., 
49
https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., 
            
54
Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control 
50
Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control 
            
55
Recognition with an Attention Mechanism Using Speed-Profile and 
51
Recognition with an Attention Mechanism Using Speed-Profile and 
            
56
Satellite Imagery data. The International Archives of the 
52
Satellite Imagery data. The International Archives of the 
            
57
Photogrammetry, Remote Sensing and Spatial Information Sciences 
53
Photogrammetry, Remote Sensing and Spatial Information Sciences 
            
58
XLIII-B4-2022, S. 287\u201329. 
54
XLIII-B4-2022, S. 287\u201329. 
            
59
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* 
55
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* 
            
60
__Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ 
56
__Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ 
            
61
Trajectory analysis at intersections for traffic rule identification. 
57
Trajectory analysis at intersections for traffic rule identification. 
            
62
Geo-spatial Information Science, 11(4):1-10. 
58
Geo-spatial Information Science, 11(4):1-10. 
            
63
https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., 
59
https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., 
            
64
Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition 
60
Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition 
            
65
with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 
61
with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 
            
66
2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, 
62
2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, 
            
67
J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection 
63
J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection 
            
68
Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. 
64
Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. 
            
69
https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., 
65
https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., 
            
70
Fischer, C. and Sester, M. (2019):__  Classification of street 
66
Fischer, C. and Sester, M. (2019):__  Classification of street 
            
71
junctions according to traffic regulators. In: _Kyriakidis, P., 
67
junctions according to traffic regulators. In: _Kyriakidis, P., 
            
72
Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. 
68
Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. 
            
73
Accepted short papers and posters from the 22nd AGILE conference on 
69
Accepted short papers and posters from the 22nd AGILE conference on 
            
74
geo-information science. Cyprus University of Technology 17\u201320 
70
geo-information science. Cyprus University of Technology 17\u201320 
            
75
June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* 
71
June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* 
            
76
__Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS 
72
__Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS 
            
77
Trajectory Dataset of the Region of Hannover, Germany. 
73
Trajectory Dataset of the Region of Hannover, Germany. 
            
78
https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. 
74
https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. 
            
79
and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic 
75
and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic 
            
80
Regulation Information of the Region of Edessa, Greece. 
76
Regulation Information of the Region of Edessa, Greece. 
            
81
https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. 
77
https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. 
            
82
and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth 
78
and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth 
            
83
Information of the City of Hannover, Germany. 
79
Information of the City of Hannover, Germany. 
            
84
https://doi.org/10.25835/cqg0x1el \r\n\r\n* __Zourlidou, S., Golze, J. 
80
https://doi.org/10.25835/cqg0x1el \r\n\r\n* __Zourlidou, S., Golze, J. 
            
85
and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories 
81
and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories 
            
86
for Traffic Rule Recognition (6 Junctions, Hannover, Germany). 
82
for Traffic Rule Recognition (6 Junctions, Hannover, Germany). 
            
87
https://doi.org/10.25835/0043786",
83
https://doi.org/10.25835/0043786",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2021-10-14T10:15:58.271235",
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    "created": "2021-10-14T10:15:58.271235",
            
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    "description": "Appelstra\u00dfe 9 a, 30167 Hannover, 
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    "description": "Appelstra\u00dfe 9 a, 30167 Hannover, 
            
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https://www.ikg.uni-hannover.de/",
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https://www.ikg.uni-hannover.de/",
            
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    "id": "9828c497-59fd-47a6-a39f-e9eec9bb8a66",
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    "id": "9828c497-59fd-47a6-a39f-e9eec9bb8a66",
            
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    "image_url": 
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    "image_url": 
            
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ni-hannover.de/fileadmin/_processed_/a/0/csm_IKG_Logo_0680c1122c.png",
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ni-hannover.de/fileadmin/_processed_/a/0/csm_IKG_Logo_0680c1122c.png",
            
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    "is_organization": true,
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    "name": "institut-fur-kartographie-und-geoinformatik",
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    "name": "institut-fur-kartographie-und-geoinformatik",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Institut f\u00fcr Kartographie und Geoinformatik",
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    "title": "Institut f\u00fcr Kartographie und Geoinformatik",
            
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    "type": "organization"
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  "relationships_as_subject": [],
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  "repository_name": "Leibniz University Hannover",
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  "repository_name": "Leibniz University Hannover",
            
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      "description": "Contains the following information:\r\n- id 
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      "description": "Contains the following information:\r\n- id 
            
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(gid),\r\n- coordinates in (utm_east, utm_north) and (lon, lat)\r\n- 
115
(gid),\r\n- coordinates in (utm_east, utm_north) and (lon, lat)\r\n- 
            
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intersection id (junct_id)\r\n",
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intersection id (junct_id)\r\n",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "",
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      "name": "chicago_junctions.csv",
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      "name": "chicago_junctions.csv",
            
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      "package_id": "bb417008-4b1c-45f9-8e7a-d13398de4374",
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      "url": 
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      "url": 
            
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/65b4e260-b095-4f61-a64b-4425e2162794/download/chicago_junctions.csv",
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/65b4e260-b095-4f61-a64b-4425e2162794/download/chicago_junctions.csv",
            
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      "url_type": ""
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      "created": "2022-02-10T10:49:15.930937",
            
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      "description": "Contains the following information:\r\n- 
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      "description": "Contains the following information:\r\n- 
            
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coordinates (X,Y)\r\n- gid\r\n- traffic rule id (rule_id)\r\n- 
139
coordinates (X,Y)\r\n- gid\r\n- traffic rule id (rule_id)\r\n- 
            
140
intersection id (junct_id),\r\n- angle of intersection arm 
140
intersection id (junct_id),\r\n- angle of intersection arm 
            
141
(angle)\r\n- regulator type/rule (rule)\r\n",
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(angle)\r\n- regulator type/rule (rule)\r\n",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "510c813d-a05d-4061-8c27-2670f41336de",
            
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      "name": "chicago_rules.csv",
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      "name": "chicago_rules.csv",
            
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      "url": 
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      "url": 
            
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      "vocabulary_id": null
            
347
    },
347
    },
            
348
    {
348
    {
            
349
      "display_name": "intersections",
349
      "display_name": "intersections",
            
350
      "id": "ea058525-84dc-4d5e-b5c4-892342a3d448",
350
      "id": "ea058525-84dc-4d5e-b5c4-892342a3d448",
            
351
      "name": "intersections",
351
      "name": "intersections",
            
352
      "state": "active",
352
      "state": "active",
            
353
      "vocabulary_id": null
353
      "vocabulary_id": null
            
354
    },
354
    },
            
355
    {
355
    {
            
356
      "display_name": "mapconstruction.org",
356
      "display_name": "mapconstruction.org",
            
357
      "id": "62f570b5-4699-431c-97b1-f5184eafab25",
357
      "id": "62f570b5-4699-431c-97b1-f5184eafab25",
            
358
      "name": "mapconstruction.org",
358
      "name": "mapconstruction.org",
            
359
      "state": "active",
359
      "state": "active",
            
360
      "vocabulary_id": null
360
      "vocabulary_id": null
            
361
    },
361
    },
            
362
    {
362
    {
            
363
      "display_name": "traffic rules",
363
      "display_name": "traffic rules",
            
364
      "id": "7c0e8fe9-5cc4-401a-9b35-b696c760280a",
364
      "id": "7c0e8fe9-5cc4-401a-9b35-b696c760280a",
            
365
      "name": "traffic rules",
365
      "name": "traffic rules",
            
366
      "state": "active",
366
      "state": "active",
            
367
      "vocabulary_id": null
367
      "vocabulary_id": null
            
368
    }
368
    }
            
369
  ],
369
  ],
            
370
  "terms_of_usage": "Yes",
370
  "terms_of_usage": "Yes",
            
371
  "title": "Traffic Regulator Ground-truth Information for the Chicago 
371
  "title": "Traffic Regulator Ground-truth Information for the Chicago 
            
372
Trajectory Dataset",
372
Trajectory Dataset",
            
373
  "type": "vdataset",
373
  "type": "vdataset",
            
374
  "url": 
374
  "url": 
            
375
-hannover.de/dataset/groundtruth-intersection-regulators-for-chicago",
375
-hannover.de/dataset/groundtruth-intersection-regulators-for-chicago",
            
376
  "version": ""
376
  "version": ""
            
377
}
377
}