The challenge

Pollution levels can change dramatically from one street to the next depending on congestion, idling, road design, and traffic flow. Yet most cities still rely on a handful of background stations that miss exactly these variations — leaving transport planners and policy teams without the street-level evidence they need to act.

The Persium approach

Persium deploys sensor networks along roads, junctions, transport corridors, and boundaries — capturing continuous, street-level air quality data where traffic emissions are highest. Combined with wind and spatial context, transport teams can see how pollution builds, disperses, and changes throughout the day, and use that evidence to plan, evaluate, and report with confidence.

What transport teams use it for

Clean Air Zone monitoring:

Track NO₂ and particulate levels along CAZ boundaries before, during, and after implementation to measure real-world impact.

Traffic corridor analysis:

Identify which roads, junctions, and peak periods generate the highest exposure and design interventions accordingly.

Multimodal emissions comparison:

Monitor road, rail, and river transport in the same network to understand the full picture of urban transport emissions.

Policy evaluation:

Measure whether traffic restrictions, fleet changes, or infrastructure redesigns are delivering measurable air quality improvements.

Public & community reporting:

Share transparent, real-time data with residents and stakeholders along affected routes.