Send in your ideas. Deadline December 1, 2024
Grant
Theme fund: NGI0 Discovery
Period: 2021-12 — 2022-08
More projects like this
Data and AI

OpenStreetMap Speed Limits

Infer default speed limits for better quality OpenStreetMap-based routing

OpenStreetMap (OSM) is the worlds largest open geodata set, created and maintained collaboratively by millions of users. Of course there are many other purposes beyond creating a map, for instance finding the best route from A to B. Such usage needs to take into account incomplete data, as coverage of speed limits varies greatly across OSM. Currently, only about 12% of roads in OSM have speed limits set. However, default legal speed limits can often be inferred from other data, such as whether the road is within an urban zone, whether the carriage way is segregated, how many lanes it has, whether it is paved etc.

The goal of this project is to extract the default speed limits for different road and vehicle types for all state legislations, map these to OSM and provide these in a machine-readable form so that it can be consumed by open source routing software such as GraphHopper, Valhalla or OSRM. Further, a reference implementation that interprets this data will be provided.

    Logo NLnet: abstract logo of four people seen from above Logo NGI Zero: letterlogo shaped like a tag

    This project was funded through the NGI0 Discovery Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 825322.