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Routing engine for OpenStreetMap data implementing high-performance algorithms for shortest paths in road networks.
Provides bindings to the Open Source Routing Machine - OSRM.
By default, binaries are provided for:
On those platforms no external dependencies are needed.
Just do:
npm install osrm
However other platforms will fall back to a source compile: see Source Build for details.
Download an osm extract and process it with OSRM.
Create an OSRM config (ini) file that references the OSRM prepared routing data.
This repository contains a Makefile to automatically do this, assuming you have OSRM installed.
Just run:
make berlin-latest.osrm.hsgr
3) Next, since we want to use node-osrm locally, do:
export NODE_PATH=lib
Once that is done then you can calculate routes in Javascript like:
var osrm = require('osrm')
var opts = new osrm.Options("./test/data/berlin.ini");
var engine = new osrm.Engine(opts);
var query = new osrm.Query({coordinates: [[52.519930,13.438640], [52.513191,13.415852]]});
var sync_result = engine.run(query);
JSON.parse(engine.run(query));
{ status: 0,
status_message: 'Found route between points',
route_geometry: '{~pdcBmjfsXsBrD{KhS}DvHyApCcf@l}@kg@z|@_MbX|GjHdXh^fm@dr@~\\l_@pFhF|GjCfeAbTdh@fFqRp}DoEn\\cHzR{FjLgCnFuBlG{AlHaAjJa@hLXtGnCnKtCnFxCfCvEl@lHBzA}@vIoFzCs@|CcAnEQ~NhHnf@zUpm@rc@d]zVrTnTr^~]xbAnaAhSnPgJd^kExPgOzk@maAx_Ek@~BuKvd@cJz`@oAzFiAtHvKzAlBXzNvB|b@hGl@Dha@zFbGf@fBAjQ_AxEbA`HxBtPpFpa@rO_Cv_B_ZlD}LlBGB',
route_instructions:
[ ... ],
route_summary:
{ total_distance: 2814,
total_time: 211,
start_point: 'Friedenstraße',
end_point: 'Am Köllnischen Park' },
alternative_geometries: [],
alternative_instructions: [],
alternative_summaries: [],
route_name:
[ 'Lichtenberger Straße',
'Holzmarktstraße' ],
alternative_names: [ [ '', '' ] ],
via_points:
[ [ 52.519934, 13.438647 ],
[ 52.513162, 13.415509 ] ],
via_indices: [ 0, 69 ],
alternative_indices: [],
hint_data:
{ checksum: 222545162,
locations:
[ '9XkCAJgBAAAtAAAA____f7idcBkPGuw__mMhA7cOzQA',
'TgcEAFwFAAAAAAAAVAAAANIeb5DqBHs_ikkhA1W0zAA' ] } }
OSRM develop
branch, cloned from github.
OSRM build with -DWITH_TOOLS=1
so that libOSRM
is created
Lua, luabind, and stxxl headers
Boost >= 1.50 or Luabind headers patched as in https://github.com/DennisOSRM/Project-OSRM/issues/465#issuecomment-9133539 (note: it is possible to patch the luabind headers that are installed by apt)
If you use luajit then you may need to put the luajit headers on the compile flags like:
export CXXFLAGS="-I/usr/include/luajit-2.0/"
To build with OS X Mavericks you need to ensure the bindings link to libc++
. An easy way to do this is to set:
export CXXFLAGS=-mmacosx-version-min=10.9
before building node-osrm
.
To build the bindings you need to first build and install the develop
branch of Project-OSRM
:
# grab develop branch
git clone -b develop https://github.com/DennisOSRM/Project-OSRM.git
cd Project-OSRM
mkdir build;
cd build;
cmake ../ -DWITH_TOOLS=1
make
sudo make install
NOTE: If you hit problems building Project-OSRM see the wiki for details.
Then build node-osrm
against Project-OSRM
installed in /usr/local
:
git clone https://github.com/DennisOSRM/node-osrm.git
cd node-osrm
npm install
Developers of node-osrm
should set up a Source Build and after changes to the code run:
make
Under the hood this uses node-gyp to compile the source code.
Releasing a new version of node-osrm
requires:
-alpha
flaggit tag v0.3.0 -m "Tagging v0.3.0
git push --tags
After pushing the tag Travis.ci will automatically:
npm publish
to push the package to the npm registryRun the tests like:
make test
FAQs
The Open Source Routing Machine is a high performance routing engine written in C++14 designed to run on OpenStreetMap data.
We found that osrm demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 21 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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