Simulates a dispatching algorithm serving exogenous transportation requests with a fleet of vehicles. Does not simulate the universe, unlike MATSim. Batteries are included.
Project description
RidePy
RidePy is a scientific Python library for simulating modern on-demand transit systems such as ridepooling.
In short: RidePy simulates a dispatching algorithm serving exogenous transportation requests with a fleet of vehicles. Does not simulate the universe, unlike MATSim. Batteries are included.
Head over to ridepy.org to get started. You might also be interested in our paper published in the Journal of Open Source Software.
Quickstart
For detailed instructions, see the installation guide in the documentation.
If you’re in a hurry, here’s the gist:
RidePy currently works best with Python 3.9
If you are on platform other than x86-64 Linux, i.e., one that we don’t offer wheels for, you will need to first set up a C++ build environment and the Boost C++ libraries. On Debian-like systems, this is easily accomplished with
sudo apt-get install build-essential libboost-all-dev
Install RidePy with
pip install ridepy
Contributing
We are always happy for contributions from the community. If you run into a problem, please report an issue or ask for help.
If you are interested in contributing to our codebase, please read our contributing guide.
Here is a short overview of the most important points:
Resources
Documentation: ridepy.org
Source code: GitHub
Issue tracker: GitHub
Code style
Development
Version control: Git
Testing: pytest
Continuous integration: GitHub Actions
Versioning: Semantic Versioning
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file ridepy-2.10.1.tar.gz
.
File metadata
- Download URL: ridepy-2.10.1.tar.gz
- Upload date:
- Size: 109.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2e0b0e4cb92d8282a5cf22313cae5bad0bf86b5cd1af8247793386f02c3d485d |
|
MD5 | 59157df9d69691ccfd3bce13bc9d842a |
|
BLAKE2b-256 | ae34135402ce9578921f1c3ff537ffc516bb2c3930ab1e5d9ef296fe7b6c9adb |
File details
Details for the file ridepy-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: ridepy-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 3.8 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c838b3c7a9b9a3c6d7390e9ceb77e2cb02eb9fcd414c56fe4b01b952474c075b |
|
MD5 | 256eb74c993b482339ecf736dbb8a458 |
|
BLAKE2b-256 | cab3c9419e2d12ff95f24336db3f78d4d109e768a03ae6ebe61563bea7625ea3 |