RidePy enables fast computer simulations of on-demand mobility modes such as ridehailing or ridepooling. It strongly focuses on modeling the mobility service itself, rather than its customers or the environment. Through a combination of Python, Cython and C++, it offers ease of use at high performance. Its modular design makes customization easy, while the included modules allow for a quick start.
@article{arxiv.2312.02104,
title = {RidePy: A fast and modular framework for simulating ridepooling systems},
author = {Felix Jung and Debsankha Manik},
journal= {arXiv preprint arXiv:2312.02104},
year = {2023}
}