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Calculation model for the reduction of noise emissions in road traffic
KIT researchers are working together with partners from industry, administration and science on a solution to reduce noise pollution in road traffic. The aim is to minimize noise emissions from vehicles not only under test conditions, but also under a wide range of real-life conditions. In the Tyre Road Noise project, the cooperation partners are developing a data-based calculation model to efficiently predict vehicle noise emissions using artificial intelligence. This takes into account a wide range of influencing parameters relating to the road surface, tires, driving style and weather conditions. A comprehensive database of noise emissions and the associated conditions is required to build the model. This data is collected from the vehicle in different environments with the help of a cross-manufacturer vehicle fleet using innovative measurement methods. The resulting prediction model of the vehicle's pass-by noise enables new noise reduction measures to be validated quickly and cost-effectively. The project is funded by the Federal Ministry for Digital and Transport Affairs to enable innovative solutions for more efficient, safer and more sustainable mobility.
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