Noise Mapping based on OpenStreetMap data

Erwan Bocher (1) , Gwenaël Guillaume (2) , Sébastien Guyon (3) , Nicolas Fortin (2) , Pierre Aumond (4)

1 UBS - Université de Bretagne Sud
2 UMRAE - Unité Mixte de Recherche en Acoustique Environnementale
3 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 IFSTTAR/AME/LAE - Laboratoire d'Acoustique Environnementale

Noise mapping relies on numerous input data concerning the territory, such as transport infrastructure and related trac, buildings, land topography and use, or population distribution to determine the end-of-chain exposed population. Access to these data and their manual formatting can be time-consumming for the operators in charge of the production these maps and potentially error-prone. Nowadays, these data are mainly provided by the state services and sometimes unavailable. In recent years, other data sources have emerged in the form of open data. OpenStreetMap (OSM) has become one of the major project of free editable map over the world that relies on a wide community of contributors. The present work aims at investigating the use of OSM data for noise mapping purposes. Maps produced using ?usual? and OSM data are compared in terms of deviation in the estimated exposed population.

Mots clés: OPEN STREET MAP

Mots clés: ACOUSTIQUE; CARTOGRAPHIE; DONNEES OUVERTES; OPEN SOURCE

Domaines: Acoustique [physics.class-ph]

Erwan Bocher, Gwenaël Guillaume, Sébastien Guyon, Nicolas Fortin, Pierre Aumond. Noise Mapping based on OpenStreetMap data. Inter-Noise 2019, Jun 2019, MADRID, Spain. ⟨hal-03616879⟩