Automated Assessment and Improvement of OpenStreetMap Data

The challenging task of creating an accurate and up-to-date map of the fast changing world can be easily solved by means of crowdsourcing. OpenStreetMap (OSM) is a good example of this approach. However, the quantification of quality and suitability of OSM for certain applications is necessary as this database is primarily constructed by amateurs. Researchers have proposed several parameters to assess the quality of OSM. It is found that most of the current research in this area focusses on geometric accuracy and is confined to road networks. This paper analyses the logical and semantic accuracy of OSM and includes other geographic features along with street network.