Snap4City Vertical Applications

A Snap4City platform may host a large number of verticals which are classified in 5 domains:

• DOMAIN: Control and Plan Horizontal Artificial Intelligence Platform Digital Twin for All Domains: https://www.snap4city.org/1039
• DOMAIN: Mobility and Transport Operation and Plan Digital Twin: https://www.snap4city.org/1040
• DOMAIN: Smart Energy and Smart Buildings Operation and Plan Digital Twins: https://www.snap4city.org/1041
• DOMAIN: Environment and Waste Management Digital Twin: https://www.snap4city.org/1042
• DOMAIN: City Users' Services, Tourism Management and Safety Digital Twin: https://www.snap4city.org/1043

The Main vertical applications are:

• Snap4Rhodes: The "Single Smart City & Cyber Security Monitoring Platform" for the Municipality of Rhodes
• SCENARIO: City Users' Participation and Engagement with Snap4City, PDF
• SOLUTION: 15MinCityIndex: understanding city areas by means of 13 different aspects, PDF
• SOLUTION: Energy Management and Control,   PDF
• SOLUTION: Environment Control, Predictions & Prescriptions,    PDF
• SOLUTION: Smart Light Control and Light Adaptive with Traffic Density  PDF
• SOLUTION: Smart Tourism Management with Snap4City  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
• SOLUTION: Snap4Building: monitoring, managing, controlling infrastructures  PDF
• SOLUTION: Snap4City integration with Milestone X Protect, VMS, Video Management System PDF
• SOLUTION: Snap4City Digital Twin,   PDF
• SOLUTION: eShare in a Snap - The innovative car sharing and car pooling service, PDF
• SOLUTION: Snap4City Smart Parking Manager and mobile App supports PDF
• SOLUTION: Exploit Snap4City in different Smart Waste use cases, waste manager,  PDF
• eShare in a Snap - The innovative car sharing and car pooling service
• Digital Twin Cityverse FAQ to Snap4City
• SASUAM: Solutions for Safe, Sustainable and Accessible Urban Mobility
• SCENARIO: Exploit Snap4City in different Smart Waste use cases
• SCENARIO: Smart City Asset Management for Cuneo, Italy
• Smart Light Control and Light Adaptive for Traffic Density (the actual case of Merano) PDF
• Key performance Indicator: KPI per la mobilità e trasporti, MaaS, parcheggi, inquinamento (ITA)
• Snap4City integration with Milestone X Protect, VMS, Video Management System PDF
• SCENARIO: Smart Light Control, 2023, CAPELON, PDF
• SCENARIO: Smart City Living Lab in Romania, PDF
• Snap4PVenergy: Online Photovoltaic System Simulator
• SCENARIO: Fashion Retail Recommendation System via Multiple Clustering Approach
• SCENARIO: Energy Community, CER, SELFUSER
• SCENARIO: Supporting Decision Makers in Real Time about Quality Lab Analyses on the production process, PDF
• Digital Twin Local and Global, PDF
• Artificial Intelligence Predicts Landslides in Florence Area, PDF
• Available Parking Slots Prediction, PDF
• Available Bikes and Free Slots Prediction On Bike Sharing Stations, PDF
• Long Term Prediction of NO2 KPI of European Commission reference values, PDF
• Welcome: how to start using Snap4City for beginners
• Global Digital Twin for Florence by Snap4City
• 15MinCityIndex: understanding city areas by means of 13 different aspects, PDF
• Snap4City Impact Story on FIWARE: https://fiware-foundation.medium.com/snap4city-fiware-powered-smart-app-builder-for-sentient-cities-acfe24df49d5
  • PDF version:  FF_ImpactStories_Snap4City.pdf 

• Scenario: Smart Light Control (CAPELON)

• Scenario: Smart Parking in Lonato del Garda (Reverberi)

• Scenario: SnapBot: Real Time Smart City services via Telegram

• Scenario: Copernicus Satellite Data

• Scenario: Control Room vs Video Wall

• Scenario: Energy Monitoring

• Scenario: High Level Control of Industrial Plant (industry 4.0)

• Scenario: Vehicle Monitoring via OBD2

• Data Analytic: Origin Destination Matrices, Algorithms and tools

• Data Analytic: Traffic Flow Reconstruction

• Data Analytic: Predicting Air Quality

• Data Analytic: Analyzing Public Transportation Offer wrt Mobility Demand, DORAM Tool

• Scenario: High Resolution Prediction of Environmental Data

• • TRAFAIR nella Città di Livorno

  • TRAFAIR nella Città di Firenze

  • TRAFAIR nella Città di Pisa

• Scenario: Mobility and Transport Analyses in multiple cities

• Scenario: People Flow Analysis via Wi-Fi

• Scenario: Antwerp Pilot on Environmental Data

• Scenario: Helsinki Pilot on Environmental Data

• Scenario: Firenze Smart City Control Room

• Scenario: Mobile & Web App: Toscana Where What … Km4City, Toscana in a Snap

• Scenario: Helsinki Pilot on User Behaviour

• Scenario: Antwerp Pilot on User Behaviour

• Smart City Control Room Dashboards: Big Data Infrastructure, from data to decision support

• Dashboards Touch Screen Support for Situation Rooms and What-iF analysis Operators

• Data Analytics on Antwerp and Helsinki

• Decision Support Engines and Models: SmartDS, ResilienceDS

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