The Data-Driven City: The Vehicle-as-Sensor Approach to Urban Planning

Parking enforcement vehicles already drive the entire street network every day, yet most of cities extract almost zero strategic intelligence from that movement. We treat these vehicles as roaming sensor platforms and convert their daily routes into a real-time, auditable data stream about the state of the city. No storytelling, no speculative smart-city visions. Just measurable, high-frequency facts.

Key outputs:

1. Infrastructure Ground-Truthing- Continuous verification of traffic signs. Hard, machine-checked discrepancies that expose where the regulatory layer diverges from reality.
2. Operational Street-Level Imaging- A rolling, always-current street view that replaces outdated surveys and removes guesswork from planning, maintenance, and enforcement decisions.
3. Spatial Analytics for Decision-Making- The sensor feed is fused with geospatial models to produce dashboards that are not decorative, but operational: hotspots of regulatory failures, before/after evidence for interventions, deterioration patterns, and workload allocation for field teams.

Case Study: Warsaw

This pipeline will be demonstrated using real data captured in Warsaw. We will present how routine parking operations generate a living digital twin of the street network and how this directly drives mobility, maintenance, and infrastructure decisions. No hypotheses, only empirical deltas.

Speaker

Marcin Franc

Founder

• 10:05
• Adres

Sessions by Marcin