Noise Protect Demonstrator

Noise is one of the greatest health hazards for people in industrialized countries. Noise assessment is based on long-term evaluations of standard sound sources, which have little relation to real short-term sound events.

Before the implementation of planning and cost-intensive noise protection measures, their effectiveness is evaluated and analyzed visually and with the help of numerical simulations. Since the perception of noise is highly individual, the effect of a noise protection measure can only be conveyed to a limited extent without auralization.

For the realistic auralization of noise situations with noise protection measures in urban living spaces, this web-based application was realized. Based on an AI-supported evaluation of satellite or aerial images, the noise situation to be made audible is automatically analyzed and prepared for an object-based auralization. In addition to a noise source and a listening position, the position of a virtual noise protection measure can be defined in the application.

For five scenarios, the auralization is calculated and provided for:

1. the initial noise situation
2. noise situation considering a passive noise barrier
3. an active noise barrier with active noise control

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