RidePy: A fast and modular framework for simulating ridepooling systems
Felix Jung, Debsankha Manik
TL;DR
RidePy is a high-performance, modular simulation framework for on-demand mobility services like ridepooling, emphasizing ease of use, customization, and rapid deployment through a combination of Python, Cython, and C++.
Contribution
It introduces a fast, modular, and customizable simulation tool specifically designed for ridepooling systems, filling a gap in existing mobility simulation frameworks.
Findings
High simulation speed due to optimized codebase
Ease of customization through modular design
Supports rapid setup with included modules
Abstract
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.
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Taxonomy
TopicsTransportation and Mobility Innovations · Sharing Economy and Platforms · Transportation Planning and Optimization