Mobile sampling to enhance data acquisition for noise mapping

Abstract

Noise maps, whether they are based on simulation or in measurements, share the difficulty of data acquisition, since several input information is required to properly represent the temporal and spatial evolution of noise in the place under assessment. Therefore, mobile sampling could be a proper solution to enhance data acquisition, as it would increase considerably the spatiotemporal resolution of noise samples without compromising the accuracy and representativeness. In order to perform noise measurements in movement, the present research proposes a scheme of mobile sampling based on a low-cost georeferenced noise sensor mounted on a bicycle. To validate the application of the mobile sampling approach, several mobile and static measurements are taken, then an analysis between mobile and static sampling is performed