SMART PARKING AND MOBILITY FLOW STARTER PACK (90 DAYS)
TRACKS VEHICLE FLOWS AND PARKING OCCUPANCY USING SENSORS AND CAMERAS TO REDUCE CONGESTION, EMISSIONS, AND DRIVER TIME LOSS.
Start with one dataset. Prove value. Scale only when it makes sense. Yes, that’s allowed.
problem
MOBILITY PLANNING IS OFTEN DONE WITHOUT SHARED OPERATIONAL BASELINES.
Common symptoms
PARKING OCCUPANCY IS ESTIMATED
No real-time reliability.
TRAFFIC DATA IS FRAGMENTED
Vendors do not interoperate.
CONGESTION RESPONSES ARE REACTIVE
Patterns are not mapped.
MOBILITY POLICY LACKS EVIDENCE
Decisions are political rather than analytical.
CITIES DON’T NEED AI TRAFFIC OPTIMIZATION. THEY NEED MOBILITY BASELINES. YES, REALLY.
solution
HOW WE APPROACH THIS
(simple and a bit refreshing)
We unify parking, flow, counter and ANPR datasets into a single mobility layer.
We connect it using:
- FIWARE / NGSI-LD Smart Data Models.
- The DCaaS data layer (already part of FiWAREBox).
- Your existing systems and IT infrastructure.
No disruption.
No platform migration.
No “strategic masterplan alignment committees”.
No platform migration.
No “strategic masterplan alignment committees”.
Once the first dataset is flowing →
transparency, dashboards, and real decisions become possible.
Then we expand - only if it’s worth it.
What You Get (in 90 Days)
- Occupancy and congestion dashboards.
- Peak and hotspot analysis.
- Policy outcome indicators.
- Mobility flow model.
This is not a pilot.
This is your operational starting point.
Who This Is OPTIMAL For
Cities that have:
- 50,000–500,000 residents.
- Transport planning teams.
- Parking concession operators.
- Regional corridor coordination groups.
If that sounds like your city → we’re aligned already.
Want the architecture walkthrough?
We’ll show:
- How the data actually flows.
- How to start with one dataset.
- How to avoid “Smart City over-construction syndrome”.