| Linux / macOS | Windows | Code Coverage |
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High performance routing engine written in C++14 designed to run on OpenStreetMap data.
The following services are available via HTTP API, C++ library interface and NodeJs wrapper:
- Nearest - Snaps coordinates to the street network and returns the nearest matches
- Route - Finds the fastest route between coordinates
- Table - Computes the duration or distances of the fastest route between all pairs of supplied coordinates
- Match - Snaps noisy GPS traces to the road network in the most plausible way
- Trip - Solves the Traveling Salesman Problem using a greedy heuristic
- Tile - Generates Mapbox Vector Tiles with internal routing metadata
To quickly try OSRM use our demo server which comes with both the backend and a frontend on top.
For a quick introduction about how the road network is represented in OpenStreetMap and how to map specific road network features have a look at this guide about mapping for navigation.
Related Project-OSRM repositories:
- osrm-frontend - User-facing frontend with map. The demo server runs this on top of the backend
- osrm-text-instructions - Text instructions from OSRM route response
- osrm-backend-docker - Ready to use Docker images
- IRC:
irc.oftc.net, channel:#osrm(Webchat) - Mailinglist:
https://lists.openstreetmap.org/listinfo/osrm-talk
The easiest and quickest way to setup your own routing engine is to use Docker images we provide.
There are two pre-processing pipelines available:
- Contraction Hierarchies (CH)
- Multi-Level Dijkstra (MLD)
we recommend using MLD by default except for special use-cases such as very large distance matrices where CH is still a better fit for the time being.
In the following we explain the MLD pipeline.
If you want to use the CH pipeline instead replace osrm-partition and osrm-customize with a single osrm-contract and change the algorithm option for osrm-routed to --algorithm ch.
We base our Docker images (backend, frontend) on Debian and make sure they are as lightweight as possible.
Download OpenStreetMap extracts for example from Geofabrik
wget http://download.geofabrik.de/europe/germany/berlin-latest.osm.pbf
Pre-process the extract with the car profile and start a routing engine HTTP server on port 5000
docker run -t -v $(pwd):/data osrm/osrm-backend osrm-extract -p /opt/car.lua /data/berlin-latest.osm.pbf
The flag -v $(pwd):/data creates the directory /data inside the docker container and makes the current working directory $(pwd) available there. The file /data/berlin-latest.osm.pbf inside the container is referring to $(pwd)/berlin-latest.osm.pbf on the host.
docker run -t -v $(pwd):/data osrm/osrm-backend osrm-partition /data/berlin-latest.osrm
docker run -t -v $(pwd):/data osrm/osrm-backend osrm-customize /data/berlin-latest.osrm
Note that berlin-latest.osrm has a different file extension.
docker run -t -i -p 5000:5000 -v $(pwd):/data osrm/osrm-backend osrm-routed --algorithm mld /data/berlin-latest.osrm
Make requests against the HTTP server
curl "http://127.0.0.1:5000/route/v1/driving/13.388860,52.517037;13.385983,52.496891?steps=true"
Optionally start a user-friendly frontend on port 9966, and open it up in your browser
docker run -p 9966:9966 osrm/osrm-frontend
xdg-open 'http://127.0.0.1:9966'
In case Docker complains about not being able to connect to the Docker daemon make sure you are in the docker group.
sudo usermod -aG docker $USER
After adding yourself to the docker group make sure to log out and back in again with your terminal.
We support the following images on Docker Cloud:
| Name | Description |
|---|---|
latest |
master compiled with release flag |
latest-assertions |
master compiled with with release flag, assertions enabled and debug symbols |
latest-debug |
master compiled with debug flag |
<tag> |
specific tag compiled with release flag |
<tag>-debug |
specific tag compiled with debug flag |
The following targets Ubuntu 16.04. For instructions how to build on different distributions, macOS or Windows see our Wiki.
Install dependencies
sudo apt install build-essential git cmake pkg-config \
libbz2-dev libxml2-dev libzip-dev libboost-all-dev \
lua5.2 liblua5.2-dev libtbb-devCompile and install OSRM binaries
mkdir -p build
cd build
cmake ..
cmake --build .
sudo cmake --build . --target installRead the API usage policy.
Simple query with instructions and alternatives on Berlin:
curl "https://router.project-osrm.org/route/v1/driving/13.388860,52.517037;13.385983,52.496891?steps=true&alternatives=true"
The Node.js bindings provide read-only access to the routing engine. We provide API documentation and examples here.
You will need a modern libstdc++ toolchain (>= GLIBCXX_3.4.20) for binary compatibility if you want to use the pre-built binaries.
For older Ubuntu systems you can upgrade your standard library for example with:
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update -y
sudo apt-get install -y libstdc++-5-dev
You can install the Node.js bindings via npm install osrm or from this repository either via
npm install
which will check and use pre-built binaries if they're available for this release and your Node version, or via
npm install --build-from-source
to always force building the Node.js bindings from source.
For usage details have a look these API docs.
An exemplary implementation by a 3rd party with Docker and Node.js can be found here.
When using the code in a (scientific) publication, please cite
@inproceedings{luxen-vetter-2011,
author = {Luxen, Dennis and Vetter, Christian},
title = {Real-time routing with OpenStreetMap data},
booktitle = {Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems},
series = {GIS '11},
year = {2011},
isbn = {978-1-4503-1031-4},
location = {Chicago, Illinois},
pages = {513--516},
numpages = {4},
url = {http://doi.acm.org/10.1145/2093973.2094062},
doi = {10.1145/2093973.2094062},
acmid = {2094062},
publisher = {ACM},
address = {New York, NY, USA},
}