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NoiseSphere: An AI-Based Approach for Dynamic and Large-Scale Noise Mapping Virtual Vehicle Research Center
- Format:
- Book
- Conference/Event
- Author/Creator:
- Girstmair, Josef, author.
- Conference Name:
- 14th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference (2026-06-17 : Graz, Austria)
- Language:
- English
- Subjects (All):
- Machine learning.
- Noise pollution.
- Remote sensing.
- Risk assessments.
- Noise.
- Artificial intelligence (AI).
- Satellite communications.
- Measurements.
- Satellites.
- Research and development.
- Local Subjects:
- Machine learning.
- Noise pollution.
- Remote sensing.
- Risk assessments.
- Noise.
- Artificial intelligence (AI).
- Satellite communications.
- Measurements.
- Satellites.
- Research and development.
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2026
- Summary:
- Noise pollution is a major environmental and health challenge, yet its strong spatial and temporal variability makes comprehensive mapping highly complex. Current approaches under the European Noise Directive (END) provide only partial coverage and often lack temporal dynamics.The NoiseSphere project, funded by the Austrian Research Promotion Agency FFG, develops an AI-based methodology for dynamic, large-scale noise prediction and mapping. A machine learning model is trained on heterogeneous data sources, including semantically enriched open Sentinel-2 satellite imagery, OpenStreetMap road data and existing noise maps. The model is refined through integration of noise emission data and validated using targeted in-situ measurements.A case study in an urban environment (Graz, Austria) demonstrates the model's applicability. By combining remote sensing, traffic dynamics, and machine learning, NoiseSphere enables predictive noise mapping even in regions not covered by current legislation. This approach provides a scalable tool for evidence-based environmental planning, health risk assessment, and policy support
- Notes:
- Vendor supplied data
- Access Restriction:
- Restricted for use by site license
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