Step 1: Block-by-block data collection
With the Aclima Mobile Node on board, our cars drive every public street in the mapping area and collect data every second, uploading to the cloud as the car drives.
Step 2: Multipass, intelligent driving
The Aclima fleet drives every road multiple times to collect data at different times of the day, days of the week, and seasons of the year. Aclima’s intelligent algorithms plan the driving routes, track progress, and adjust to make sure the full area is covered evenly.
Step 3: Analysis & verification
The Aclima science team pays careful attention to data quality. The AMNs are regularly calibrated and the data checked to make sure the final, verified results are as reliable as possible.
Step 4: Modeling & calculation
To calculate a single estimate of the annual (or “typical”) average for each pollutant at every location, Aclima feeds the verified data into a statistical model designed by our data science team. The result is a typical annual pollutant level for each location.
Step 5: Visualization for action
Aclima’s measurement method results in a lot of data points — about 30,000 for every mile we map. To help users explore and understand the information (and therefore take steps to improve air quality), Aclima creates interactive maps.
