The project solves several important challenges:

• Data analytics:
  Removing confounders and modifiers such as vehicle speed, differences in vehicle transfer functions, music and speech inside the vehicle, sound from other vehicles etc.;
• Information extraction:
  Converting measured quantities to applicable knowledge for road administrators and environmental agencies;
• Action planning:
  Embedding this knowledge in environmental assessment and road maintenance assessment.

Noise and vibration data is collected using proprietary hardware and software from a large number of cars that or on the road anyhow: we work with stakeholder fleets, car sharing, etc. On the server, trips are mapped to road segments and lanes and the abundancy of data is used to derive useful information about road segments such as rolling noise category, macrostructure, and waviness. Dedicated expert systems further process the information to knowledge on indicators of wear, pothole proficiency, or basic information on road pavement and speed bumps.