Sensor based Road Quality
Multi-criteria analysis based layer dedicated to estimation of road quality based on Standard Deviatiation of Acceleration (m/s²). The standard deviation is the average amount of variability in the dataset. It tells you, on average, how far each value lies from the mean. A high standard deviation means that values are generally far from the mean, while a low standard deviation indicates that values are clustered close to the mean. For stable driving on a road without potholes, we expect a low module of the standard deviation (e.g. high values can be interpreted as an area with poor quality of the road surface).
Layer Details
- Category: overlay
- Data type: vector-mvt
Sources
- © Kontur https://kontur.io
- Numbers © Muḥammad ibn Mūsā al-Khwārizmī
Ways to Access the Sensor based Road Quality Dataset
Or use another way
API
For developers and companies integrating geodata into their systems.
$100/month
Embedded Map
For companies that need to quickly embed geodata into webpages or internal systems.
$100/month
File dump
For those who prefer to receive ready-to-use files (*.gpkg, *shp, *.geojson, *.csv, and others).
$1000/download