From city data to coordinated action

Snap4City brings together real-time and historical mobility data, predictive analytics, simulation, optimisation, routing and operational tools in one Smart City Digital Twin. SnapAdvisor Copilot adds a conversational and agentic AI layer that can understand objectives, plan multi-step analyses, invoke configured Snap4City services and explain actionable outcomes in natural language.

SEE

Unified real-time view of traffic, public transport, parking, shared mobility, people flows, events, weather and environmental conditions.

PREDICT

Forecast congestion, parking availability, public-transport delays, demand, pedestrian peaks, emissions and other KPIs.

PLAN & SIMULATE

Run scenarios and what-if analyses for road changes, traffic-light plans, routing policies and transport-service alternatives.

OPTIMISE for PLANNING

Use decision-support and AI/DRL approaches to improve traffic signals, infrastructure and public-transport offer against measurable objectives.

ACT

Support dynamic routing, control-room interventions, digital signage, permissions, fleet operations and authorised workflows through APIs.

ASK

Use SnapAdvisor Copilot as a natural-language interface to data, analytics, routing, simulation, optimisation, RAG knowledge and visualisation.

Traffic intelligence

Traffic monitoring, flow reconstruction, critical-condition detection and short-term prediction from distributed sensor networks and other mobility sources.

Public transport

Schedules, stops, routes, vehicle positions and arrival information across buses, trains, trams and ferries; demand-versus-offer analysis and service optimisation.

Parking: on-road and off-road

On-street and off-street parking, occupancy prediction, smart curb management, loading zones, disabled parking, payments and permissions.

Routing & MaaS

Modal and multimodal routing for drivers, cyclists, pedestrians and public transport, including current traffic, closures, restrictions and specialised public-service routing.

Fleet & shared mobility

Fleet management, sharing, pooling, e-sharing, connected vehicles, charging infrastructure and Mobility-as-a-Service scenarios.

Apps & control rooms

Smart City Control Rooms, dashboards, mobile/web apps, digital signage and APIs for operators, fleet drivers and city users.

Permissions and subscriptions

Permissions for parking for disable, residents, delivering, industries, access to RTZ, waste delivering, etc.

Enforcement and fines

Back office and mobile app for On-Road Operators, Fine management systems, fine emissions on road and from back office.

User Engagement

Collecting user complains regarding services, integration with ERPs, automated management of complains.

Open to Multiservices

Multi-services: environment, weather, POI, personal data, etc.

TARGET OUTCOMES

Planning Goals

Reduce congestion, travel time, waiting time, fuel use and operational costs.

Improve accessibility to services, public-transport reliability and city-user safety.

Coordinate incident, roadwork, event and restricted-area management.

Improve the utilisation of parking, curb space, fleets and charging infrastructure.

Sustainable Goals

Reduce CO2, NOx and other mobility-related emissions.

Support sustainable mobility indicators such as SUMI/PUMS and other city KPIs.

Assess accessibility and 15-minute-city style indicators.

Evaluate long-term infrastructure and service changes before implementation.

Data and interoperability by design

The mobility vertical is sensor-agnostic and can integrate traffic sensors, ODM/mobile-operator data, GIS/BIM, parking, tickets, public transport, cameras, sharing services, weather, air quality and more. Integration options include LoRaWAN, NB-IoT, MQTT, NGSI, HTTPS, AMQP, REST APIs, Mobility Data Space and standards such as DATEX II, OSM and GTFS, any other format and protocol.

MONITOR & DETECT

Traffic status, reconstruction, queues, roadworks and blocked roads.

Public-transport offer/status, vehicle positions and delays.

Parking and curb occupancy, loading zones and EV charging.

Micromobility and sharing availability; fleet location and status.

Pedestrian people flow, restricted-zone access and city-user behaviour.

Weather, environmental conditions, events and incident context.

PREDICT & ANTICIPATE

Congestion 15-60 minutes ahead and expected queue lengths.

Public-transport delays and potential impacts on lines.

Parking-area status and occupancy percentage.

Pedestrian peaks and accident-risk indicators.

CO2/NO2 emissions and other sensor/KPI forecasts.

Any configured time-series or KPI variable using supported forecasting methods.

DECISION SUPPORT: FROM PREDICTION TO INTERVENTION

Traffic Signals Optimization

Recommend or optimise traffic-light plans, dynamic green waves and priority strategies for buses, trams and emergency vehicles, rapid transit busses. AI and DRL

Traffic Infrastructure Optimization

Recommend or optimize traffic infrastructure  viability, reduce travel time, congestion, consumption, emissions, via AI and DRL

Public Transport Optimization

Assess demand versus service offer and support route, schedule or dispatching adjustments. AI and DRL

Information actions

Support Variable Message Signs, digital signage, mobile information and user-engagement/incentive actions.

Scenario comparison

Compare alternatives and estimate effects on congestion, queue length, waiting time, reliability, emissions and accessibility.

Safety & resilience

Analyse dangerous intersections, pedestrian/cyclist risks, incidents and demand peaks around events.

Dynamic routing

Re-route according to current/typical traffic, obstacles, restrictions and service-specific constraints.

Example operator question

“What is causing the congestion in this area, which routes and bus lines will be affected in the next 30 minutes, and which intervention is expected to reduce queues and emissions most?”

1

UNDERSTAND

Interpret the operator objective in natural language.

2

PLAN

Build a multi-step workflow and select specialist agents/tools.

3

EXECUTE

Invoke Snap4City services and APIs; collect and analyse results.

4

VERIFY

Review outputs, recover from failures and re-plan when needed.

5

EXPLAIN

Return an actionable answer with text, maps, charts or dashboard content.

Geo intelligence

Geocoding, spatial search, areas/polygons, distance calculations, POIs and location-aware analysis.

IoT & urban data

Discover devices/entities, access metadata and retrieve live or historical observations by location/category.

Mobility & routing

Public transport, agencies/lines, stops/schedules, modal, multimodal, constrained and dynamic routing.

Analytics & prediction

Time-series statistics, correlations, PCA/regression/Granger analysis, error metrics, univariate and multivariate forecasting.

Traffic intelligence

Traffic Flow Reconstruction, critical-road-segment identification, traffic trends and mobility analysis.

Simulation & what-if

Scenario creation/modification, SUMO/MODOM simulations and questions of the form “what happens to X if Y occurs?”

Optimization

Traffic light signals and sync., traffic infrastructure, public transport offers with respect to demand, via AI DRL.

Knowledge/RAG

Combine live Digital Twin data with private documents, reports, regulations and specialised expert knowledge collections.

Notification and Alerting

Automated identification of critical conditions and alerting notifications, and rationales.

Decision support

KPI computation, scenario comparison, system-thinking strategies, optimisation and DRL-based approaches.

Visualization & Business intelligence

Generate maps and charts, and populate Snap4City dashboards with routes, POIs, IoT devices, heatmaps, traffic flows and tables.

Reporting

Generate reports with text, maps, tables, rationales, justifications and suggestions, AI explainability.

Built for configured, multi-step decision-support workflows

A city operator can ask the Copilot to collect evidence from the Digital Twin, analyse trends, calculate routes or KPIs, compare locations or periods, invoke configured prediction/simulation and optimization of services, and explain proposed solutions. Full end-to-end workflows depend on the tools and services configured for the deployment; the supplied Copilot roadmap explicitly distinguishes broader workflow synthesis from experimentally validated scope.

Understand now

“What is happening in this area?”  “Why are there no free parking slots here?”  “What caused congestion to reach 90% on this road?”

Route intelligently

“Which route is better considering current conditions?”  “Find the sensors and POIs along this route.”

Anticipate

“Analyse these traffic trends and predict what happens next.”  “Which bus lines are most exposed if queues grow over the next 30 minutes?”

Test scenarios

“What happens if traffic increases by 20%?”  “Compare two signal plans and show the impact on queues, travel time and emissions.”

Optimise

“What can be done to reduce CO2 emissions on this corridor at 09:00?”  “Which intervention best improves accessibility while reducing congestion?”

Communicate

“Prepare a concise operator report with a map, time-series charts, critical segments, recommended actions and expected KPI impact.”

EXPERIMENTAL EVIDENCE REPORTED FOR SNAPADVISOR COPILOT

90.5%

Planner F1

92.9%

Retrieval precision

86.6%

Domain-expert F1

81.8

Average G-Eval correctness

Specialist-agent selection

Against direct SPARQL ground truth

Evaluation on 90 queries with 4-8 reasoning steps

Agentic configuration

Why this changes the control-room experience

The Copilot turns the Digital Twin from a collection of dashboards and APIs into an interactive decision-support environment: the operator states the objective, the system orchestrates the configured tools, and the result is returned in an explainable, operational form.

Multi-tenant by design

One horizontal platform can support multiple cities, tenants and vertical applications, with customised user interfaces and dashboards.

Open integration

Open APIs connect mobility data and services with ERP, billing, GIS, IoT platforms, municipal CRM, legacy systems and third-party services.

Standards & protocols

Support for common protocols and standards including LoRaWAN, NB-IoT, MQTT, NGSI, HTTPS, AMQP, REST APIs, DATEX II, OSM and GTFS, more than 190 protocols.

Security & access

Cybersecurity controls, role-based access, OAuth and directory/login integrations; GDPR-oriented deployment practices.

Cloud or on-premise

Deploy as a service or on premise, with gateways in the field or provided by third parties.

Horizontal smart-city platform

Mobility can coexist with other verticals such as parking, lighting, waste, environment, assets, GIS, tourism and buildings.

SELECTED SNAP4MOBILITY SOLUTIONS

Operational solutions

Snap4Parking: parking, permissions, fine management and user/operator apps. (see Smart Cyprus, Snap4Ispra, etc.)

eShare: fleet management, sharing and pooling.

Snap4Gate: gate management for ports and parking (see Port of Salerno).

Info Mobility: mobile apps, digital signage and service information.

Unified dashboards and Control Rooms for multimodal operations (see Snap4ISPRA).

Planning and Decision-support solutions

Traffic flow reconstruction and predictions.

Traffic-light and traffic-infrastructure optimisation.

Demand-versus-offer assessment for public transport.

Mobility simulations and real-time what-if analysis.

SnapAdvisor Copilot for conversational, multi-tool decision support.

Contact:  snap4city@disit.org

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