Open Source Routing Machine

OSRM powered Mapbox's navigation offerings during the 2010s. OSRM participated in the 2011 Google Summer of Code. In February 2015, OSRM was integrated into OpenStreetMap's homepage alongside two other routing engines, GraphHopper and Valhalla. In 2025, a team at Roskilde University and the University of Waterloo used OSRM to solve the travelling salesman problem for a dataset of 81,998 bars from South Korea's National Police Agency, breaking a record set in 2021.

OSRM implements multilevel Dijkstra's algorithm (MLD) as well as another routing algorithm, contraction hierarchies (CH), which is better suited for very large distance matrices. Shortest path computation on a continental sized network can take up to several seconds if it is done without a so-called speedup-technique. Via the CH preprocessing pipeline, OSRM can compute and output a shortest path between any origin and destination within a few milliseconds, whereby the pure route computation takes much less time. Most effort is spent in annotating the route and transmitting the geometry over the network. This high performance facilitates use cases such as user-interactive route manipulation.

In addition to solving the shortest path problem for road networks, OSRM also includes a map matching service and a travelling salesman problem solver for generating distance matrices.