Skip to main content

A microscopic, multi-modal traffic simulation package

Project description

Eclipse SUMO - Simulation of Urban MObility

Windows Linux macOS sonarcloud security Translation status Repo Size

What is SUMO

"Simulation of Urban MObility" (SUMO) is an open source, highly portable, microscopic traffic simulation package designed to handle large road networks and different modes of transport.

It is mainly developed by employees of the Institute of Transportation Systems at the German Aerospace Center.

Where to get it

You can download SUMO via our downloads site.

As the program is still under development and is extended continuously, we advice you to use the latest sources from our GitHub repository. Using a command line client the following command should work:

    git clone --recursive https://github.com/eclipse/sumo

Contact

To stay informed, we have a mailing list for SUMO, which you can subscribe to. Messages to the list can be sent to sumo-user@eclipse.org. SUMO announcements will be made through the sumo-announce@eclipse.org list; you can subscribe to it as well. For further contact information, have a look at this page.

Build and Installation

For Windows we provide pre-compiled binaries and CMake files to generate Visual Studio projects. If you want to develop under Windows, please also clone the dependent libraries using

    git clone --recursive https://github.com/DLR-TS/SUMOLibraries

If you're using Linux, you should have a look whether your distribution already contains sumo. There is also a ppa for ubuntu users and an open build service instance. If you want to build sumo yourself, the steps for ubuntu are:

    sudo apt-get install cmake python g++ libxerces-c-dev libfox-1.6-dev libgdal-dev libproj-dev libgl2ps-dev swig
    cd <SUMO_DIR> # please insert the correct directory name here
    export SUMO_HOME="$PWD"
    mkdir build/cmake-build && cd build/cmake-build
    cmake ../..
    make -j$(nproc)

For detailed build instructions, have a look at our Documentation.

Getting started

To get started with SUMO, take a look at the docs/tutorial and examples directories, which contain some example networks with routing data and configuration files. There is also user documentation provided in the docs/ directory and on the homepage.

Documentation

Improving SUMO

Please use the GitHub bug tracking tool for bugs and requests, or file them to the list sumo-user@eclipse.org. Before filing a bug, please consider to check with a current repository checkout whether the problem has already been fixed.

We welcome patches, pull requests and other contributions! For details see our contribution guidelines.

We use Weblate for translating SUMO. If you want to add translation strings or a language, see our contribution guidelines.

License

SUMO is licensed under the Eclipse Public License Version 2. For the licenses of the different libraries and supplementary code information is in the subdirectories and the Documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

eclipse_sumo-1.17.0-py2.py3-none-win_amd64.whl (84.8 MB view details)

Uploaded Python 2Python 3Windows x86-64

eclipse_sumo-1.17.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (70.1 MB view details)

Uploaded Python 2Python 3manylinux: glibc 2.17+ x86-64

eclipse_sumo-1.17.0-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (76.0 MB view details)

Uploaded Python 2Python 3manylinux: glibc 2.17+ ARM64

eclipse_sumo-1.17.0-py2.py3-none-macosx_12_0_arm64.whl (55.4 MB view details)

Uploaded Python 2Python 3macOS 12.0+ ARM64

eclipse_sumo-1.17.0-py2.py3-none-macosx_10_16_x86_64.whl (48.6 MB view details)

Uploaded Python 2Python 3macOS 10.16+ x86-64

File details

Details for the file eclipse_sumo-1.17.0-py2.py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for eclipse_sumo-1.17.0-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 2266502aa4fa3ed908855b498bd8f4656452ae436cf18b27298f149a1f14c26c
MD5 48410ab7cbb213a3c570280ed922ef55
BLAKE2b-256 816221ab6ecf56ba692f53a7593122b23fa408692e1bcf4ffc738e93b377c872

See more details on using hashes here.

File details

Details for the file eclipse_sumo-1.17.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for eclipse_sumo-1.17.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7f0837adc398882773d913cc37a1f7532449dbe450fa2b4b7d53529a22e2b84
MD5 84b1ed4005f891fc074e93e99dc3ffca
BLAKE2b-256 2fee1dfb278fa69cf2d5a0fb82091e274b5ace848ba4175cc3c6c26c78625b62

See more details on using hashes here.

File details

Details for the file eclipse_sumo-1.17.0-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for eclipse_sumo-1.17.0-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 86ce24bce2a8306a82852e137f18d5f8d1378ca8c89a61041be0d66e70786410
MD5 635554c967cb8794602c83a408d32c5b
BLAKE2b-256 337409e57763a97e64dbaa0b2fc3f0a04e3433c570b62307c4ef4b23f0a58bab

See more details on using hashes here.

File details

Details for the file eclipse_sumo-1.17.0-py2.py3-none-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for eclipse_sumo-1.17.0-py2.py3-none-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 8b9b1c7864ae470cafdc598d33d40021516699ab91fbc51061251ff2df88cac9
MD5 f5406e7c29412e54b97b1b51ddaa28c7
BLAKE2b-256 6b558aa4ffa24538b99ef548642a40f0f0760b5f1d4bdca12660925bf7d2d876

See more details on using hashes here.

File details

Details for the file eclipse_sumo-1.17.0-py2.py3-none-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for eclipse_sumo-1.17.0-py2.py3-none-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 cf50d981f53216590628c0d5bdea0db3eecaa01aa49bb1650faf209fa227b53f
MD5 08a9c5795565b3cb400158d460c1311c
BLAKE2b-256 b7b76fdc0aca68d037c6d990d7daa7a45a61ba62d25eeadb9f19ac84283b9d3c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page