Snap4City is a reference platform for CN MOST via this web portal https://www.Snap4City.org , since the September 2022 at the start of CN MOST.
Snap4City has more than 8500 registered users (August 2024) belonging to more than 150 legal entities.
The major results produced by UNIFI DISIT Lab and partners on Snap4City.org are:
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Il corso Snap4City in Italiano 2025, in relazione a CN MOST ed altri progetti, ad accesso Libero https://www.snap4city.org/1068
- Mobility and transport DOMAIN: https://www.snap4city.org/1040
- 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: eShare in a Snap - The innovative car sharing and car pooling service, PDF
- SOLUTION Snap4City Smart Parking Manager and mobile App supports PDF
- Digital Twin Local and Global, PDF
- Key performance Indicator: KPI per la mobilità e trasporti, MaaS, parcheggi, inquinamento (ITA)
- LeverageOPTIFaaS, Operation and Plan, Transport Infrastructure and Facilities Support as a Service
- SASUAM: Solutions for Safe, Sustainable and Accessible Urban Mobility
- OPTIFaaS: Operation and Plan, Transport Infrastructure and Facilities Support as a Service
- SUMI Indicatori: definizioni e stima
- "Microservices’ Libraries Enabling Server-Side Business Logic Visual Programming for Digital Twins", SoftwareX, Elsevier, 2024. https://www.sciencedirect.com/science/article/pii/S2352711024001766
- "Snap4City Dashboard Manager: a tool for creating and distributing complex and interactive dashboards with no or low coding", SoftwareX, Elsevier, 2024. https://www.sciencedirect.com/science/article/pii/S2352711024001006 . https://doi.org/10.1016/j.softx.2024.101729
- "Smart City Scenario Editor for General What-if Analysis", Sensors, MDPI, 2024. https://www.mdpi.com/1424-8220/24/7/2225/pdf
- "Data Sources and Models for Integrated Mobility and Transport Solutions", Sensors, MDPI, 2024 https://www.mdpi.com/1424-8220/24/2/441/pdf
- High Precision Traffic Flow Reconstruction via Hybrid Method", IEEE Transactions on Intelligent Transportation Systems, 2023, https://doi.org/10.1109/TITS.2023.3329544
- Comparing techniques for TEmporal eXplainable Artificial Intelligence, 10th IEEE International Conference on Big Data Service and Applications, Shanghai, China, July, 2024.
- MOBILE MAPPING TO SUPPORT AN INTEGRATED TRANSPORT-TERRITORY MODELLING APPROACH", The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-1/W1-2023 12th International Symposium on Mobile Mapping Technology (MMT 2023), 24–26 May 2023, Padua, Italy
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