Noise - Road Traffic Lden (AI Prediction) - Germany, 2017

This dataset includes a road traffic noise estimation using ensemble learning and multimodal geodata. The official noise indicator, Lden (Day-Evening-Night Level), mapped according to the European Noise Directive (2002/49/EC) for large urban agglomerations is extrapolated to suburban areas and beyond. This novel information closes previous data gaps and is herewith available for environmental noise assessments evaluating the impact of road traffic noise on human health and well-being at a spatial resolution of 10 x 10m nation-wide.
Suggested Data Citation
German Aerospace Center (DLR) (2025): Noise - Road Traffic Lden (AI Prediction) - Germany, 2017 https://doi.org/10.15489/5non57bdli63
Coverage
Geographic Boundaries
North:	55.03°
West:	5.39°
East:	15.57°
South:	47.12°
Time Period
Start date:	2017-01-01
End date:	2017-12-31
More Information
Keywords:	Road Traffic, Noise, Exposure, Residential environment, Health, 2002/49/EC, Germany
Contact:	geoservice@dlr.de
Access / Use Restriction:	License
Data Use Guidelines	Creative Commons BY 4.0
Links
Mission / Project Information
EOC Geoservice Dataset Landing Page	https://geoservice.dlr.de/web/datasets/n2nnoise_ai Dataset Landing Page
Project Website	https://www.dlr.de/de/eoc/forschung-transfer/projekte-und-missionen/noise2nako-ai Noise2NAKO(AI) project website
Reference	https://doi.org/10.1016/j.trd.2025.105063 Jeroen Staab, Matthias Weigand, Arthur Schady, Ariane Droin, Donatella Cea, Marco Dallavalle, Nikolaos Nikolaou, Mahyar Valizadeh, Kathrin Wolf, Michael Wurm, Tobia Lakes, Hannes Taubenböck. National road traffic noise estimation with ensemble learning and multimodal geodata. Transportation Research Part D: Transport and Environment, 149, 105063.
DOI (of Dataset)	https://doi.org/10.15489/5non57bdli63 Digital Object Identifier
Product Search / Ordering
Downloading Data
HTTP Download (Noise2NAKO NOISE)	https://download.geoservice.dlr.de/NOISE2NAKO/files/NOISE/AI_Prediction/ HTTP Download