Map Quality Measurement (MQM) initiative started in 2018 to establish a standard methodology and metric by which to evaluate OSM road quality throughout the United States. The output of MQM is a heat-map style representation showing relative map quality across a geographic grid. To make MQM informative, each grid cell is sensitive to local context. Our project includes an automated process to calculate an optimal grid size and update the MQM stats periodically or on demand. For 2019, the data processing and ranking methodologies are enhanced to provide more insightful results (e.g. we apply more quality checks). We investigate map quality results through mapping behaviors, edit history, and changes of quality. We’re also adding context in the form of social-economic metrics (e.g., population density, road density, etc.) to help editors prioritize their mapping efforts. Last, we hope to integrate MQM outputs with other OSM Tools so low quality “hot spots” can be rendered and used in HOT Tasking Manager, MapRoulette or other tools easily. All of our materials, methodologies, and process are open-sourced and available to the OSM Community. Finally, we would like to engage any collaboration opportunity with other similar community efforts and potential development possibilities for better and easier platforms for mapping efforts.
Route Planning for Blind Pedestrians using OpenStreetMap
Millions of people around the world are visually impaired or completely blind . This group audience need to cope with many challenges on a day-to-day basis, some of which are related to...
