Snap4City Environment and Waste Management Digital Twins

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• Snap4City 8/2024 Artificial Intelligence Digital Twin services and tools offering catalogue
• archive of articles: https://www.snap4city.org/78

Solutions and Cases:

• SOLUTION: Environment Control, Predictions & Prescriptions
• AMMIRARE: make the beach system more resilient to climate change risks through the implementation of natural based solutions
• SCENARIO: Exploit Snap4City in different Smart Waste use cases
• Artificial Intelligence Predicts Landslides in Florence Area, PDF
• Long Term Prediction of NO2 KPI of European Commission reference values, PDF
• SOLUTION: 15MinCityIndex: understanding city areas by means of 13 different aspects, PDF
• SOLUTION: Traffic Infrastructure Optimisation: reducing travel time and emissions  PDF
• SOLUTION: Traffic Light Plan Optimisation: reducing travel time, number of stops for vehicles and tramway lines: PDF
• SCENARIO: Exploit Snap4City in different Smart Waste use cases

• Scenario: City of Roma case, mobility and environmental data

• Scenario: Herit-Data video and aims

• Scenario: Copernicus Satellite Data

• Data Analytic: in general, and the cases of Antwerp and Helsinki

•     Data Analytic: Predicting Air Quality

•     Scenario: Antwerp Pilot on Environmental Data

•     Scenario: Helsinki Pilot on Environmental Data

•     Scenario: High Resolution Prediction of Environmental Data

• Solution: selecting the less pollute routing