In the following, a Selection of the main Artificial Intelligence Digital Twin offers of Snap4City solutions and applications for the 2024.
Please contact snap4city@disit.org for any additional offer and evetual declinations, customizaton, combinations, etc.
Mobility and Transport Domain (2024/8)
- Goals:
- Decongestion
- Decarbonization
- Accessibility to services
- Security/Safety of city users
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring traffic, parking, people flow, services, boats, ports, beaches, etc.
- Early detection/warning of critical conditions: traffic, congestion, security/safety
- Managing Smart Parking, transportation services, fines, etc.
- Managing fleets: personal, sharing, waste collection, maintenance, etc.
- Managing E-sharing, pooling services, MaaS, etc.
- Managing entrances in city areas: restricted areas, touristic busses, etc.
- Production of suggestions, recommendations, nudging
- Computing predictions of any kind
- Solutions for Planning (optimization and what-if analysis)
- Reduction of traffic congestion, via optimization: traffic light plans, viability, routing
- Reduction of Pollutant Emissions, via optimization: traffic light plans, viability
- Optimization of transportation offers wrt multimodal mobility demand
- Algorithms and computational solutions
- Optimisation of viability of an area for reducing congestion, waiting time, stops
- Optimisation of Traffic Light Plans, synchronization, in an area for reducing congestion, waiting time, stops
- Predictions for: traffic flow, smart parking, smart bike sharing, people flows, etc. (ML, DL)
- What if analysis: routing, traffic flow, demand vs offer, pollutant, etc. (Simulation + ML)
- Traffic flow reconstruction from sensors and other sources (simulation + ML)
- Public Transportation: Ingestion and modelling of GTFS, Transmodel, NeTEx, etc. (DP)
- Analysis of the demand mobility vs offer transport of according to public transportation and multiple data sources (Simulation)
- Assessing quality of public transportation (analysis)
- Accidents heatmaps, anomaly detection (analysis, ML)
- Road light controlled by traffic conditions
- Tracking fleets, people, via devices: OBU, OBD2, mobile apps, etc. (DP)
- Routing and multimodal routing (multistop travel planning), constrained routing, dynamic routing (DA)
- Computing Origin Destination Matrices from different kind of data (analysis, DP, DP)
- Computing typical trajectories on the basis of tracks (analysis, ML)
- Fleet management, monitoring, booking, allocation, maintenance
- Computing Messages for Connected drive (DP)
- Slow and Fast Mobility 15 Minute City Indexes (analysis, DP, …ML)
- Computing and comparing traffic flow on devices and at the city border (analysis)
- Typical time trends for traffic flow and IoT Time series. (analysis, ML)
- Impact of COVID-19 on mobility and transport
- Computing SUMI, PUMS, etc. (mainly DP)
- Definition of Scenarios: traffic, road graph, conditions, etc.
City User Behaviour/services, Tourism and Safety (2024/8b)
- Goals:
- Quality of Life, quality of services, over tourism mitigation, sustainability
- Costs reduction of services
- Accessibility to services: citizens, Tourists, commuters, etc.
- Security/Safety of city users
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring services: tickets, reputation, usages, areas, etc.
- Monitoring user behaviour (counting, trajectories): indoor/outdoor, hot places/services, ports, beaches,
- Computing: origin destination, trajectories, travel means, reputation, predictions, etc.
- Early detection/warning of critical conditions, connection with Video Management Systems
- Managing entrances in city areas: restricted areas, touristic busses, etc.
- Production of info-tourism, recommendations, nudging to city users and operators, second offer promotion
- Providing Virtual Assistants for City Services, Tourist Offices, etc.
- Monitoring reputation of services via: social media, blogs, etc.
- Collecting complains, requests, participations from City users via mobile apps
- Computing predictions of any kind: people coming/moving, services and sites reputation, advertising impact and people reactions.
- Solutions for Planning (optimization and what-if analysis)
- prediction of the effect of certain changes on the offer;
- Reduction of Pollutant Emissions, via optimization
- Optimization plan to distribution of workload on multiple touristic offers/services, area cleaning, etc.
- Predicting reputation of services, touristic and operative
- Algorithms and computational solutions
- People detection and classification: persona, strollers, bikes, etc. (ML, DL)
- people counting and tracking, head counting, people trajectories (via thermal cameras, ML, DL)
- People flows prediction and reconstruction, (ML, DL)
- Wi-Fi data, mobile apps data, Mobile Data, etc.
- User’s behaviour analysis, People flow analysis from PAX Counters and heterogenous data sources (ML, AI)
- origin destination matrices, hot places, time schedule,
- Recency and frequency, permanence, typical trajectory, etc.
- Computing User engagement and suggestions for sustainable mobility (Rule Based, ML)
- Social media analysis on specific channel, specific keywords: see Twitter Vigilance,
- Reputation, service assessment: MultiLingual NLP and Sentiment Analysis, SA
- Tweet proneness, retweet-ability of tweets, impact guessing
- Audience predictions on TV channels and physical events, locations
- Prediction of attendance of events and on attractions
- Virtual Assistant construction, LLM, NLP, Sentiment Analysis (DL, NLP)
- Video management System integration for security
- 15 Minute City Index , etc. (modeling and computability)
- Computing SDG, etc., (DP)
-
- Etc.
Environment, waste, land, etc., Domain
- Goals:
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring emissions, weather, waste, water, etc.: sensors, traffic, flows, ….
- Early detection/warning of critical conditions on emissions, weather, waste, water, fire, animals, …
- Early detection/warning of critical conditions for landslides, water flooding, beach
- Smart Waste Management: bins/lockers, waste collection daily plan, pay as you throw, PAYT, etc.
- Short terms prediction of emissions: CO2, NO2, etc.
- Production of suggestions, nudging
- Computing and predicting of long terms KPI indicators of the European Commission
- Solutions for Planning (optimization and what-if analysis)
- Identification of main CO2/NO2 emissions locations in the city, total production from traffic
- Reduction of Pollutant Emissions, via optimization: semaphore cycles, viability
- Algorithms and computational solutions
- Pollutant Predictions: short, long and very long term European Commission KPIs
- NOX, PM10, PM2.5 pollution on the basis of traffic flow, 48 hours (ML, AI, DL)
- Cumulated NO2 average over year (ML, AI, DL)
- Computation of CO2 on the basis of traffic flows (DP), computing emission factor (DA)
- each road for each time slot of the day
- Prediction of MicroClimate conditions for diffusion (ML, AI)
- NO2, PM10, PM2.5, etc.
- Prediction of landslides, 24 hours in advance (AI, DL)
- prediction of waste collection, & optimisation of schedule and paths (DP, ML)
- Heatmaps production dense data interpolation (DP) for
- Weather conditions: temperature, humidity, wind, DEW
- Pollutants and Aerosol: NO, NO2, CO2, PM10, PM2.5, etc.
- Impact of COVID-19 on Environmental aspects (DP)
- Computing SDG, SUMI, SUMP, .. (mainly DP)
- Pollutant Predictions: short, long and very long term European Commission KPIs
-
- Etc.
Snap4Building Domain
- Goals:
- increase efficiency, cost reduction, sustainability
- Accessibility to services
- Security/Safety
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring: usage, energy, environmental conditions, people flows, services, etc.
- Early detection/warning, alarm, of critical conditions, notifications, decision support
- Production of suggestions/prescriptions, nudging
- Managing smart services: cabinets, dispenser, lockers, etc.
- Global and local 3D/2D representations of area and buildings
- Integration with Video Management Systems
- Computing predictions of any kind
- Solutions for Planning (optimization and what-if analysis)
- Reduction of energy costs via optimization
- Algorithms and computational solutions
- Digital Twin for monitor, control and manage distributed infrastructures
- 2D/3D representations of the whole set of buildings, BIM modeling
- Entities (building, floors, rooms, parking, charging stations, gates, etc.) with their shapes and descriptors, and data monitoring the allocation to office, meeting, cafeteria, storage, stairs, elevator, etc.
- Monitoring and computing KPIs on real time for
- energy consumed or produced (hot/cold), parking, logistic, presences, cleaning, air quality, departments, subareas, maintenance, etc.
- allocation/designation, dispositions, heating, cooling, temperature, equipment, etc.
- grouped in Zones
- Digital Twin for monitor, control and manage distributed infrastructures
Energy Domain
- Goals:
- Energy consumption reduction, increment of efficiency, sustainability
- accessibility to services
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring energy consumption (heating, cooling, prod.,..), conditions, charging stations, etc.
- Managing Smart Light for city: dimering, programming, traffic control, controllers, legacy, etc.
- Early detection/warning, alarm, of critical conditions
- Managing smart services: cabinets, lockers, etc.
- Production of suggestions, nudging
- Global and local 3D/2D representations of area and buildings
- Managing Communities of Energy, certification via Blockchain
- Computing predictions of any kind
- Solutions for Planning (optimization and what-if analysis)
- Reduction of energy costs, via optimization
- Identification of roofs with better orientation
- Optimization of battery storage size for PV plants
- Community of Energy planning and viability
- Algorithms and computational solutions
- Monitoring Energy Consumption in single building, area and per zone
- Smart Light management, unicast and multi cast management, smart light controlled by traffic flow data
- Monitoring Energy provisioning on recharging station
- Matching Energy consumption with respect to the actual usage
- Computing Roof orientation for Photovoltaic installations
- Optimisation of Photovoltaicc installations to identify the best parameters of size and storage
- Collecting and managing Communities of Energy
- Computing KPI
- Etc.
Assets Control Domain
- Goals:
- Costs reduction, increase service availability, risk reduction
- Quality Level
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring :
- Assets: switches, Wi-Fi, servers, UPS, sensors, building, TV Cams, etc.
- Energy: consumption, operative conditions, etc.
- Production: continuous quality analysis
- Etc.
- Early detection/warning, alarm, of critical conditions
- Multichannel Event reporting: email, Telegram, mobile apps, SMS, etc.
- Managing maintenance operation
- Computing predictions of any kind
- Monitoring :
- Solutions for Planning (optimization and what-if analysis)
- Reduction maintenance costs, reduction of critical SLA conditions, improvement of quality level
Industry production Domain
- Goals:
- Cost reduction, increase control on production
- Production optimisation
- Quality Level
- Solutions for Operation (monitoring, managing, mobile apps, digital signages, control rooms)
- Monitoring KPI: administration, production, commercial, faults, etc.
- Early detection/warning, alarm, of critical conditions
- Multichannel Event reporting: email, Telegram, mobile apps, SMS, etc.
- Managing maintenance operation, predictive maintenance
- Computing predictions on KPI
- Computing predictive maintenance
- generation of patterns in production, design, etc.
- Solutions for Planning (optimization and what-if analysis)
- Generative AI and predictive AI for production plan optimisation
- Reduction maintenance costs, reduction of critical SLA conditions, improving quality level