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SMART PARKING AND MOBILITY FLOW STARTER PACK (90 DAYS)

Start with one dataset. Prove value. Scale only when it makes sense. 
Yes, that’s allowed.
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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”.

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”.