From the dataset abstract

General description

A data collection experiment using machines and a measuring point to collect microparticle concentrations during street cleaning to assess air quality. PM10, PM2.5 and PM1 concentrations from spring 2023 at a fixed measurement point near Rastila metro station and from sensors mounted on two Stara maintenance vehicles; one street cleaning machine and one Wille multifunctional street cleaning machine.

The air quality measurements of the moving vehicles have been combined with the location data from time-stamped monitoring devices installed on the vehicles; the data also include information on the current working status of the vehicle (stopped/driving/washing/working). The working state (stopped/driving/washing) of the truck is calculated from FMS data (e.g. axle weights and speed). The working state of the Wille machine is estimated based on the speed of the vehicle alone; when the vehicle is moving between 1 and 10 km/h, it is assumed to be in operation.

Purpose of use and description of quality

The data were collected as a pilot data collection exercise, partly to test the use of Stara vehicles as data collection platforms. The hope was to be able to assess the impact of street cleaning measures on the instantaneous (vehicle-mounted sensors) and long-term (stationary sensors) air quality.

Data collection method

Swarco AirDec sensors mounted on a traffic light post (Rastila), on the roof of a Volvo work truck and above the rear wheel of a Wille multifunctional car. Air quality data from the moving vehicles were combined with positioning data from separate monitoring devices based on a time stamp.

Source: Datankeruukokeilu Helsingissä: Ilmanlaatu katujen siivouksen aikana