Tyre Road Noise

Data-based study of effects on controlled and real drive noise emission

The adverse effects of road traffic noise on the quality of life of many citizens are well documented. Road traffic noise is primarily attributed to the interaction between tires and the road surface resulting in tire-road noise emissions (TRNE). This is particularly the case with electric vehicles (EVs). Due to the gradual reduction in vehicle noise emission values, the TRNE – being on of the major sound sources – needs to be reduced. To develop and validate TRNE reduction measures, comprehensive measurement data is required, which will be collected as part of this project. Based on this data, a database for TRNE and its influencing variables in real road traffic will be created, and a prediction model will be derived using AI methods to close the gap between existing physical models and reality. The model should enable the derivation of conclusions about emissions on other roads from suitable measurements, as well as possible mitigation measures.

About the BMV's mFUND funding program:

As part of the mFUND innovation initiative, the BMV has been funding data-based research and development projects for the digital and connected mobility of the future since 2016. Project funding is complemented by active professional networking between stakeholders from politics, business, administration and research. Open data is made available via the Mobilithek. For more information, visit www.mFUND.de.