Due to the ever increasing level of environmental noise that the EU population is exposed to, all countries are directed to disseminate community noise level exposures to the public in accordance with EU Directive 2002/49/EC. Environmental noise maps are used for this pur pose and as a means to avoid, prevent or reduce the harmful effects caused by exposure to envi ronmental noise. There is no common standard to which these maps are generated in the EU and indeed t hese maps are in most cases inaccurate due to poorly informed predictive models. This paper develops a novel e nvironmental noise monitoring methodology which will allow accurate road noise measurements t o replace erroneous source model approximations in the generation of noise maps. The approach proposes t he acquisition of sound levels and position coordinates by instrumented vehicles such as bicycles or cars or by pedestrians equipped with a Smartphone. The accumulation of large amounts of data over time w ill result in extremely high spatial and temporal resolution resulting in an accurate measurement of environment al noise.