Änderungen
Auf 4. Dezember 2023 um 16:20:54 UTC, Marija Knezevic:
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Ressource ShowRoom Dashboards wurde umbenannt zu Messung des Verkehrs in Ingolstadt mit Detektorschleifen in Grafana Dashboard for Detector Loop
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Beschreibung der Ressource Messung des Verkehrs in Ingolstadt mit Detektorschleifen in Grafana Dashboard for Detector Loop wurde von
Auf dem Dashboard ist es möglich, die Messung des Verkehrsaufkommens durch Zählschleifen zu sehen. Das Dashboard zeigt: Aktueller Verkehr in den vergangenen 15 min, Fahrzeuge je Kreuzung je 15 min gestapelt, Summe Fahrzeuge und unterschiedliche Echtzeit Analyse einer Kreuzung. Benutzername und Passwort sind erforderlich. Bitte kontaktieren Sie die verantwortliche Person
inAuf dem Dashboard ist es möglich, die Messung des Verkehrsaufkommens durch Zählschleifen zu sehen. Das Dashboard zeigt: Aktueller Verkehr in den vergangenen 15 min, Fahrzeuge je Kreuzung je 15 min gestapelt, Summe Fahrzeuge und unterschiedliche Echtzeit Analyse einer Kreuzung.
geändert -
Neue Datei wurde als Ressource Messung des Verkehrs in Ingolstadt mit Detektorschleifen in Grafana Dashboard for Detector Loop hochtgeladen
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38 | "language": "de", | 38 | "language": "de", | ||
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42 | "license_id": "other-open", | 42 | "license_id": "other-open", | ||
43 | "license_title": "Other (Open)", | 43 | "license_title": "Other (Open)", | ||
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": "2023-12-04T16:20:02.422724", | n | 49 | "metadata_modified": "2023-12-04T16:20:54.034262", |
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=\"800px\">\r\n\r\nAbbildung 1: Vorschau Dashboard zur | 69 | alt=\"B3\" width=\"800px\">\r\n\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=\"800px\">\r\n\r\nAbbildung 2: Vorschau Dashboard zur | 72 | alt=\"B3\" width=\"800px\">\r\n\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", | ||
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78 | "approval_status": "approved", | 78 | "approval_status": "approved", | ||
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138 | "description": "Hier sind die folgende Informationen zu finden: | 138 | "description": "Hier sind die folgende Informationen zu finden: | ||
139 | Messung des Verkehrsaufkommens im gesamten Stadtgebiet durch | 139 | Messung des Verkehrsaufkommens im gesamten Stadtgebiet durch | ||
140 | Detektorschleifen, Echtzeitanalyse der Kreuzung | 140 | Detektorschleifen, Echtzeitanalyse der Kreuzung | ||
141 | Hindenburg-/Ringlerstra\u00dfe, Wetterdatenerfassung.", | 141 | Hindenburg-/Ringlerstra\u00dfe, Wetterdatenerfassung.", | ||
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145 | "last_modified": null, | 145 | "last_modified": null, | ||
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147 | "mimetype": null, | 147 | "mimetype": null, | ||
148 | "mimetype_inner": null, | 148 | "mimetype_inner": null, | ||
149 | "name": "Grafana Dashboard (Verkehrsaufkommens, Kreuzung | 149 | "name": "Grafana Dashboard (Verkehrsaufkommens, Kreuzung | ||
150 | Hindenburg-/Ringlerstra\u00dfe, Wetterdatenerfassung)", | 150 | Hindenburg-/Ringlerstra\u00dfe, Wetterdatenerfassung)", | ||
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160 | }, | 160 | }, | ||
161 | { | 161 | { | ||
162 | "allowed_users": "", | 162 | "allowed_users": "", | ||
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165 | "created": "2023-08-09T09:42:49.730564", | 165 | "created": "2023-08-09T09:42:49.730564", | ||
166 | "datastore_active": false, | 166 | "datastore_active": false, | ||
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173 | "mimetype": null, | 173 | "mimetype": null, | ||
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175 | "name": "Showroom Dashboard Snapshot", | 175 | "name": "Showroom Dashboard Snapshot", | ||
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182 | "url": | 182 | "url": | ||
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190 | "created": "2023-07-20T07:29:26.886017", | 190 | "created": "2023-07-20T07:29:26.886017", | ||
191 | "datastore_active": false, | 191 | "datastore_active": false, | ||
192 | "description": "Auf dem Dashboard ist es m\u00f6glich, die | 192 | "description": "Auf dem Dashboard ist es m\u00f6glich, die | ||
193 | Messung des Verkehrsaufkommens durch Z\u00e4hlschleifen zu | 193 | Messung des Verkehrsaufkommens durch Z\u00e4hlschleifen zu | ||
194 | sehen.\r\nDas Dashboard zeigt: Aktueller Verkehr in den vergangenen 15 | 194 | sehen.\r\nDas Dashboard zeigt: Aktueller Verkehr in den vergangenen 15 | ||
195 | min, Fahrzeuge je Kreuzung je 15 min gestapelt, Summe Fahrzeuge und | 195 | min, Fahrzeuge je Kreuzung je 15 min gestapelt, Summe Fahrzeuge und | ||
n | 196 | unterschiedliche Echtzeit Analyse einer Kreuzung.\r\n\r\nBenutzername | n | 196 | unterschiedliche Echtzeit Analyse einer Kreuzung.", |
197 | und Passwort sind erforderlich. Bitte kontaktieren Sie die | ||||
198 | verantwortliche Person", | ||||
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200 | "hash": "", | 198 | "hash": "", | ||
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205 | Detektorschleifen", | ||||
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212 | "state": "active", | 211 | "state": "active", | ||
213 | "url": | 212 | "url": | ||
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217 | ], | 216 | ], | ||
218 | "spatial": | 217 | "spatial": | ||
219 | 11.500919,48.797649],[11.500919,48.733833],[11.368307,48.733833]]]]}", | 218 | 11.500919,48.797649],[11.500919,48.733833],[11.368307,48.733833]]]]}", | ||
220 | "state": "active", | 219 | "state": "active", | ||
221 | "tags": [ | 220 | "tags": [ | ||
222 | { | 221 | { | ||
223 | "display_name": "DetectorLoop", | 222 | "display_name": "DetectorLoop", | ||
224 | "id": "ea8022dd-0463-4e76-b510-5d35a1544703", | 223 | "id": "ea8022dd-0463-4e76-b510-5d35a1544703", | ||
225 | "name": "DetectorLoop", | 224 | "name": "DetectorLoop", | ||
226 | "state": "active", | 225 | "state": "active", | ||
227 | "vocabulary_id": null | 226 | "vocabulary_id": null | ||
228 | }, | 227 | }, | ||
229 | { | 228 | { | ||
230 | "display_name": "Grafana", | 229 | "display_name": "Grafana", | ||
231 | "id": "a3f2cab5-9e8a-4a04-89b6-82f44580ce4f", | 230 | "id": "a3f2cab5-9e8a-4a04-89b6-82f44580ce4f", | ||
232 | "name": "Grafana", | 231 | "name": "Grafana", | ||
233 | "state": "active", | 232 | "state": "active", | ||
234 | "vocabulary_id": null | 233 | "vocabulary_id": null | ||
235 | }, | 234 | }, | ||
236 | { | 235 | { | ||
237 | "display_name": "dashboard", | 236 | "display_name": "dashboard", | ||
238 | "id": "7125e404-6a43-4d28-9db5-b60a301ea501", | 237 | "id": "7125e404-6a43-4d28-9db5-b60a301ea501", | ||
239 | "name": "dashboard", | 238 | "name": "dashboard", | ||
240 | "state": "active", | 239 | "state": "active", | ||
241 | "vocabulary_id": null | 240 | "vocabulary_id": null | ||
242 | } | 241 | } | ||
243 | ], | 242 | ], | ||
244 | "title": "Grafana Dashboard for Detector Loop", | 243 | "title": "Grafana Dashboard for Detector Loop", | ||
245 | "type": "dataset", | 244 | "type": "dataset", | ||
246 | "url": null, | 245 | "url": null, | ||
247 | "version": "" | 246 | "version": "" | ||
248 | } | 247 | } |