This tool uses machine learning to rapidly estimate road traffic noise exposure indicators from open data, capturing both average levels and temporal variability of urban noise. Purpose of Tool:   Creating road traffic noise exposure maps is a time consuming endeavor. Gathering input data and setting up calculation models (e.g. EU-CNOSSOS) typical requires weeks to months of work. As it has been observed that the intermittent noise from residential streets is differently perc