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  "name": "grafana-dashboard-for-detector-loop",
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  "name": "grafana-dashboard-for-detector-loop",
            
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  "notes": "## Messung des Verkehrsaufkommens durch 
51
  "notes": "## Messung des Verkehrsaufkommens durch 
            
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Z\u00e4hlschleifen\r\nAn einem Gro\u00dfteil der Ampeln im Stadtgebiet 
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Z\u00e4hlschleifen\r\nAn einem Gro\u00dfteil der Ampeln im Stadtgebiet 
            
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von Ingolstadt sind Z\u00e4hlschleifen in die Fahrbahn eingelassen, 
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von Ingolstadt sind Z\u00e4hlschleifen in die Fahrbahn eingelassen, 
            
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die dar\u00fcberfahende Fahrzeuge erkennen und z\u00e4hlen. Die Daten 
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die dar\u00fcberfahende Fahrzeuge erkennen und z\u00e4hlen. Die Daten 
            
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werden in nahezu Echtzeit auf einem zentralen Rechner der Stadt 
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werden in nahezu Echtzeit auf einem zentralen Rechner der Stadt 
            
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abgelegt. Diese werden vom Forschrungsprojekt SAVeNoW abgerufen, 
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abgelegt. Diese werden vom Forschrungsprojekt SAVeNoW abgerufen, 
            
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verarbeitet und in eine performante, standardisierten Sensordatenbank 
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verarbeitet und in eine performante, standardisierten Sensordatenbank 
            
58
\u00fcbertragen. Zur Anwendung kommen die Verkehrsz\u00e4hlungen zur 
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\u00fcbertragen. Zur Anwendung kommen die Verkehrsz\u00e4hlungen zur 
            
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Verbesserung der Genauigkeit der Verkehrssimulation. Mittels 
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Verbesserung der Genauigkeit der Verkehrssimulation. Mittels 
            
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minutengenauen Daten \u00fcber das Verkehrsaufkommens an den einzelnen 
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minutengenauen Daten \u00fcber das Verkehrsaufkommens an den einzelnen 
            
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Kreuzungen, kann ein akuraltes Abbild des Realverkehrs innerhalb der 
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Kreuzungen, kann ein akuraltes Abbild des Realverkehrs innerhalb der 
            
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Simulation geschaffen werden. Somit bilden Verkehrsdaten das Fundament 
62
Simulation geschaffen werden. Somit bilden Verkehrsdaten das Fundament 
            
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f\u00fcr eine realistische Simulation. Mithilfe der Konzepte und Ideen 
63
f\u00fcr eine realistische Simulation. Mithilfe der Konzepte und Ideen 
            
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zur Verbesserung des Verkehrs in Ingolstadt unkompliziert getestet und 
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zur Verbesserung des Verkehrs in Ingolstadt unkompliziert getestet und 
            
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validiert werden k\u00f6nnen.\r\n\r\nIm Dashboard ist es m\u00f6glich, 
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validiert werden k\u00f6nnen.\r\n\r\nIm Dashboard ist es m\u00f6glich, 
            
66
verschiedene Analysen und Dashboards zu sehen, die aus den Messungen 
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verschiedene Analysen und Dashboards zu sehen, die aus den Messungen 
            
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der Sensoren resultieren.\r\n\r\n<img 
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der Sensoren resultieren.\r\n\r\n<img 
            
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src=\"https://savenow.github.io/sta-docs/_images/dashboard-hm.jpg\" 
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src=\"https://savenow.github.io/sta-docs/_images/dashboard-hm.jpg\" 
            
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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 
            
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Verkehrsst\u00e4rke in Ingolstadt.\r\n\r\n<img 
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Verkehrsst\u00e4rke in Ingolstadt.\r\n\r\n<img 
            
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src=\"https://savenow.github.io/sta-docs/_images/dashboard.jpg\" 
71
src=\"https://savenow.github.io/sta-docs/_images/dashboard.jpg\" 
            
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alt=\"B3\" width=\"800px\">\r\n\r\nAbbildung 2: Vorschau Dashboard zur 
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alt=\"B3\" width=\"800px\">\r\n\r\nAbbildung 2: Vorschau Dashboard zur 
            
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Verkehrsst\u00e4rke an der Kreuzung 
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Verkehrsst\u00e4rke an der Kreuzung 
            
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N\u00fcrnberger-/Theodor-Heuss-Stra\u00dfe",
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N\u00fcrnberger-/Theodor-Heuss-Stra\u00dfe",
            
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Messung des Verkehrsaufkommens im gesamten Stadtgebiet durch 
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Messung des Verkehrsaufkommens im gesamten Stadtgebiet durch 
            
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Detektorschleifen, Echtzeitanalyse der Kreuzung 
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Detektorschleifen, Echtzeitanalyse der Kreuzung 
            
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Hindenburg-/Ringlerstra\u00dfe, Wetterdatenerfassung.",
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