Changes
On July 20, 2023 at 7:32:47 AM UTC, Marija Knezevic:
-
Changed value of field
spatial
to in Grafana Dashboard for Detector Loop
f | 1 | { | f | 1 | { |
2 | "author": "[{\"author\": \"Marija Knezevic\", \"author_email\": | 2 | "author": "[{\"author\": \"Marija Knezevic\", \"author_email\": | ||
3 | \"marija.knezevic@tum.de\"}]", | 3 | \"marija.knezevic@tum.de\"}]", | ||
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24 | "title": "Mobilit\u00e4t" | 24 | "title": "Mobilit\u00e4t" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
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32 | "name": "online-application", | 32 | "name": "online-application", | ||
33 | "title": "Online-Anwendung" | 33 | "title": "Online-Anwendung" | ||
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37 | "isopen": true, | 37 | "isopen": true, | ||
38 | "language": "de", | 38 | "language": "de", | ||
39 | "licence_agreement": [ | 39 | "licence_agreement": [ | ||
40 | "licence_agreement_check" | 40 | "licence_agreement_check" | ||
41 | ], | 41 | ], | ||
42 | "license_id": "other-open", | 42 | "license_id": "other-open", | ||
43 | "license_title": "Andere (Offen)", | 43 | "license_title": "Andere (Offen)", | ||
44 | "maintainer": "[{\"Maintainer Email\": \"b.willenborg@tum.de\", | 44 | "maintainer": "[{\"Maintainer Email\": \"b.willenborg@tum.de\", | ||
45 | \"maintainer\": \"Bruno Willenborg\", \"phone\": \"\", \"role\": | 45 | \"maintainer\": \"Bruno Willenborg\", \"phone\": \"\", \"role\": | ||
46 | \"contact person\"}]", | 46 | \"contact person\"}]", | ||
47 | "maintainer_email": null, | 47 | "maintainer_email": null, | ||
48 | "metadata_created": "2023-07-20T07:26:54.083464", | 48 | "metadata_created": "2023-07-20T07:26:54.083464", | ||
n | 49 | "metadata_modified": "2023-07-20T07:32:32.090200", | n | 49 | "metadata_modified": "2023-07-20T07:32:47.631319", |
50 | "name": "grafana-dashboard-for-detector-loop", | 50 | "name": "grafana-dashboard-for-detector-loop", | ||
51 | "notes": "## Messung des Verkehrsaufkommens durch | 51 | "notes": "## Messung des Verkehrsaufkommens durch | ||
52 | Z\u00e4hlschleifen\r\nAn einem Gro\u00dfteil der Ampeln im Stadtgebiet | 52 | Z\u00e4hlschleifen\r\nAn einem Gro\u00dfteil der Ampeln im Stadtgebiet | ||
53 | von Ingolstadt sind Z\u00e4hlschleifen in die Fahrbahn eingelassen, | 53 | von Ingolstadt sind Z\u00e4hlschleifen in die Fahrbahn eingelassen, | ||
54 | die dar\u00fcberfahende Fahrzeuge erkennen und z\u00e4hlen. Die Daten | 54 | die dar\u00fcberfahende Fahrzeuge erkennen und z\u00e4hlen. Die Daten | ||
55 | werden in nahezu Echtzeit auf einem zentralen Rechner der Stadt | 55 | werden in nahezu Echtzeit auf einem zentralen Rechner der Stadt | ||
56 | abgelegt. Diese werden vom Forschrungsprojekt SAVeNoW abgerufen, | 56 | abgelegt. Diese werden vom Forschrungsprojekt SAVeNoW abgerufen, | ||
57 | verarbeitet und in eine performante, standardisierten Sensordatenbank | 57 | verarbeitet und in eine performante, standardisierten Sensordatenbank | ||
58 | \u00fcbertragen. Zur Anwendung kommen die Verkehrsz\u00e4hlungen zur | 58 | \u00fcbertragen. Zur Anwendung kommen die Verkehrsz\u00e4hlungen zur | ||
59 | Verbesserung der Genauigkeit der Verkehrssimulation. Mittels | 59 | Verbesserung der Genauigkeit der Verkehrssimulation. Mittels | ||
60 | minutengenauen Daten \u00fcber das Verkehrsaufkommens an den einzelnen | 60 | minutengenauen Daten \u00fcber das Verkehrsaufkommens an den einzelnen | ||
61 | Kreuzungen, kann ein akuraltes Abbild des Realverkehrs innerhalb der | 61 | Kreuzungen, kann ein akuraltes Abbild des Realverkehrs innerhalb der | ||
62 | Simulation geschaffen werden. Somit bilden Verkehrsdaten das Fundament | 62 | Simulation geschaffen werden. Somit bilden Verkehrsdaten das Fundament | ||
63 | f\u00fcr eine realistische Simulation. Mithilfe der Konzepte und Ideen | 63 | f\u00fcr eine realistische Simulation. Mithilfe der Konzepte und Ideen | ||
64 | zur Verbesserung des Verkehrs in Ingolstadt unkompliziert getestet und | 64 | zur Verbesserung des Verkehrs in Ingolstadt unkompliziert getestet und | ||
65 | validiert werden k\u00f6nnen.\r\n\r\nIm Dashboard ist es m\u00f6glich, | 65 | validiert werden k\u00f6nnen.\r\n\r\nIm Dashboard ist es m\u00f6glich, | ||
66 | verschiedene Analysen und Dashboards zu sehen, die aus den Messungen | 66 | verschiedene Analysen und Dashboards zu sehen, die aus den Messungen | ||
67 | der Sensoren resultieren.\r\n\r\n<img | 67 | der Sensoren resultieren.\r\n\r\n<img | ||
68 | src=\"https://savenow.github.io/sta-docs/_images/dashboard-hm.jpg\" | 68 | src=\"https://savenow.github.io/sta-docs/_images/dashboard-hm.jpg\" | ||
69 | alt=\"B3\" width=\"700px\">\r\nAbbildung 1: Vorschau Dashboard zur | 69 | alt=\"B3\" width=\"700px\">\r\nAbbildung 1: Vorschau Dashboard zur | ||
70 | Verkehrsst\u00e4rke in Ingolstadt.\r\n\r\n<img | 70 | Verkehrsst\u00e4rke in Ingolstadt.\r\n\r\n<img | ||
71 | src=\"https://savenow.github.io/sta-docs/_images/dashboard.jpg\" | 71 | src=\"https://savenow.github.io/sta-docs/_images/dashboard.jpg\" | ||
72 | alt=\"B3\" width=\"700px\">\r\nAbbildung 2: Vorschau Dashboard zur | 72 | alt=\"B3\" width=\"700px\">\r\nAbbildung 2: Vorschau Dashboard zur | ||
73 | Verkehrsst\u00e4rke an der Kreuzung | 73 | Verkehrsst\u00e4rke an der Kreuzung | ||
74 | N\u00fcrnberger-/Theodor-Heuss-Stra\u00dfe", | 74 | N\u00fcrnberger-/Theodor-Heuss-Stra\u00dfe", | ||
75 | "num_resources": 1, | 75 | "num_resources": 1, | ||
76 | "num_tags": 3, | 76 | "num_tags": 3, | ||
77 | "organization": { | 77 | "organization": { | ||
78 | "approval_status": "approved", | 78 | "approval_status": "approved", | ||
79 | "created": "2023-06-27T13:03:46.203963", | 79 | "created": "2023-06-27T13:03:46.203963", | ||
80 | "description": "", | 80 | "description": "", | ||
81 | "id": "77d41ff3-e516-4008-aac1-e7c25905e7d8", | 81 | "id": "77d41ff3-e516-4008-aac1-e7c25905e7d8", | ||
82 | "image_url": "2023-06-27-150019.504751gislogo.png", | 82 | "image_url": "2023-06-27-150019.504751gislogo.png", | ||
83 | "is_organization": true, | 83 | "is_organization": true, | ||
84 | "name": "lehrstuhl-fur-geoinformatik", | 84 | "name": "lehrstuhl-fur-geoinformatik", | ||
85 | "state": "active", | 85 | "state": "active", | ||
86 | "title": "Lehrstuhl f\u00fcr Geoinformatik", | 86 | "title": "Lehrstuhl f\u00fcr Geoinformatik", | ||
87 | "type": "organization" | 87 | "type": "organization" | ||
88 | }, | 88 | }, | ||
89 | "owner_org": "77d41ff3-e516-4008-aac1-e7c25905e7d8", | 89 | "owner_org": "77d41ff3-e516-4008-aac1-e7c25905e7d8", | ||
90 | "private": false, | 90 | "private": false, | ||
91 | "relationships_as_object": [], | 91 | "relationships_as_object": [], | ||
92 | "relationships_as_subject": [ | 92 | "relationships_as_subject": [ | ||
93 | { | 93 | { | ||
94 | "__extras": { | 94 | "__extras": { | ||
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96 | "subject_package_id": "e311d0c3-0d5d-4be3-9acc-311d3841b091" | 96 | "subject_package_id": "e311d0c3-0d5d-4be3-9acc-311d3841b091" | ||
97 | }, | 97 | }, | ||
98 | "comment": "", | 98 | "comment": "", | ||
99 | "id": "9e05763a-6140-4ade-a1ee-176d950622a3", | 99 | "id": "9e05763a-6140-4ade-a1ee-176d950622a3", | ||
100 | "type": "links_to" | 100 | "type": "links_to" | ||
101 | } | 101 | } | ||
102 | ], | 102 | ], | ||
103 | "resources": [ | 103 | "resources": [ | ||
104 | { | 104 | { | ||
105 | "allowed_users": "", | 105 | "allowed_users": "", | ||
106 | "cache_last_updated": null, | 106 | "cache_last_updated": null, | ||
107 | "cache_url": null, | 107 | "cache_url": null, | ||
108 | "created": "2023-07-20T07:29:26.886017", | 108 | "created": "2023-07-20T07:29:26.886017", | ||
109 | "datastore_active": false, | 109 | "datastore_active": false, | ||
110 | "description": "Auf dem Dashboard ist es m\u00f6glich, | 110 | "description": "Auf dem Dashboard ist es m\u00f6glich, | ||
111 | dieMessung des Verkehrsaufkommens durch Z\u00e4hlschleifen zu | 111 | dieMessung des Verkehrsaufkommens durch Z\u00e4hlschleifen zu | ||
112 | sehen.\r\nDas Dashboard zeigt: Aktueller Verkehr in den vergangenen 15 | 112 | sehen.\r\nDas Dashboard zeigt: Aktueller Verkehr in den vergangenen 15 | ||
113 | min, Fahrzeuge je Kreuzung je 15 min gestapelt, Summe Fahrzeuge und | 113 | min, Fahrzeuge je Kreuzung je 15 min gestapelt, Summe Fahrzeuge und | ||
114 | unterschiedliche Echtzeit Analyse einer Kreuzung", | 114 | unterschiedliche Echtzeit Analyse einer Kreuzung", | ||
115 | "format": "html", | 115 | "format": "html", | ||
116 | "hash": "", | 116 | "hash": "", | ||
117 | "id": "6bcea3d1-8d46-4ca7-980d-447fa29e015d", | 117 | "id": "6bcea3d1-8d46-4ca7-980d-447fa29e015d", | ||
118 | "last_modified": null, | 118 | "last_modified": null, | ||
119 | "metadata_modified": "2023-07-20T07:29:27.149927", | 119 | "metadata_modified": "2023-07-20T07:29:27.149927", | ||
120 | "mimetype": null, | 120 | "mimetype": null, | ||
121 | "mimetype_inner": null, | 121 | "mimetype_inner": null, | ||
122 | "name": "ShowRoom Dashboards", | 122 | "name": "ShowRoom Dashboards", | ||
123 | "package_id": "e311d0c3-0d5d-4be3-9acc-311d3841b091", | 123 | "package_id": "e311d0c3-0d5d-4be3-9acc-311d3841b091", | ||
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126 | "restricted": "{\"level\": \"public\"}", | 126 | "restricted": "{\"level\": \"public\"}", | ||
127 | "size": null, | 127 | "size": null, | ||
128 | "state": "active", | 128 | "state": "active", | ||
129 | "url": | 129 | "url": | ||
130 | ://sta-rt.savenow.de/grafana/d/36ruRA54z/showroom?orgId=1&refresh=1m", | 130 | ://sta-rt.savenow.de/grafana/d/36ruRA54z/showroom?orgId=1&refresh=1m", | ||
131 | "url_type": null | 131 | "url_type": null | ||
132 | } | 132 | } | ||
133 | ], | 133 | ], | ||
t | 134 | "spatial": | t | 134 | "spatial": "", |
135 | ,[11.445928,48.772464],[11.445928,48.75583],[11.408138,48.75583]]]]}", | ||||
136 | "state": "active", | 135 | "state": "active", | ||
137 | "tags": [ | 136 | "tags": [ | ||
138 | { | 137 | { | ||
139 | "display_name": "DetectorLoop", | 138 | "display_name": "DetectorLoop", | ||
140 | "id": "ea8022dd-0463-4e76-b510-5d35a1544703", | 139 | "id": "ea8022dd-0463-4e76-b510-5d35a1544703", | ||
141 | "name": "DetectorLoop", | 140 | "name": "DetectorLoop", | ||
142 | "state": "active", | 141 | "state": "active", | ||
143 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
144 | }, | 143 | }, | ||
145 | { | 144 | { | ||
146 | "display_name": "Grafana", | 145 | "display_name": "Grafana", | ||
147 | "id": "a3f2cab5-9e8a-4a04-89b6-82f44580ce4f", | 146 | "id": "a3f2cab5-9e8a-4a04-89b6-82f44580ce4f", | ||
148 | "name": "Grafana", | 147 | "name": "Grafana", | ||
149 | "state": "active", | 148 | "state": "active", | ||
150 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
151 | }, | 150 | }, | ||
152 | { | 151 | { | ||
153 | "display_name": "dashboard", | 152 | "display_name": "dashboard", | ||
154 | "id": "7125e404-6a43-4d28-9db5-b60a301ea501", | 153 | "id": "7125e404-6a43-4d28-9db5-b60a301ea501", | ||
155 | "name": "dashboard", | 154 | "name": "dashboard", | ||
156 | "state": "active", | 155 | "state": "active", | ||
157 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
158 | } | 157 | } | ||
159 | ], | 158 | ], | ||
160 | "title": "Grafana Dashboard for Detector Loop", | 159 | "title": "Grafana Dashboard for Detector Loop", | ||
161 | "type": "dataset", | 160 | "type": "dataset", | ||
162 | "url": null, | 161 | "url": null, | ||
163 | "version": "" | 162 | "version": "" | ||
164 | } | 163 | } |