This tool implements an open-source road-transport noise modelling approach based on the CNOSSOS-EU methodology. The model estimates residential noise exposure using harmonised spatial datasets and is designed to be applicable across different geographical contexts within the Equal-Life project. It focuses on modelling noise exposure at building façades, including maximum, minimum, and variability of exposure around dwellings. Purpose of the tool: The purpose of the tool is t

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