SKM 2023 – scientific programme
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 11: Traffic Dynamics, Urban and Regional Systems II
SOE 11.2: Talk
Wednesday, March 29, 2023, 17:00–17:15, ZEU 260
A Fast and Modular Framework for Simulating Ridepooling Systems — •Felix Jung1, Debsankha Manik1, and Marc Timme1,2 — 1Chair for Network Dynamics, Institute of Theoretical Physics & Center for Advancing Electronics Dresden (cfaed), TU Dresden, 01062 Dresden, Germany — 2Lakeside Labs, Klagenfurt, Austria
Climate change and congested cities urgently call for a transformation of passenger road transport that today still largely relies on flexible but inefficient private cars. Ridepooling services may reduce the environmental impact while maintaining a high level of flexibility. They move passengers between arbitrary locations, ideally on-demand and on short notice, while dynamically combining trips of several passengers into the same vehicle. However, under which conditions these services are simultaneously efficient, sustainable, and performant is not well understood to date.
Most research into such questions primarily relies on extensive computer simulations, because real-world experiments are extremely expensive and may negatively influence user adoption. Existing simulation tools have a much broader scope but are hard to evaluate with respect to fundamental physical observables, are not sufficiently performant, or hard to use. Here we present a new simulation framework that overcomes these challenges and is easy to use, modular and fast. The framework is released under an Open Source license in the hope that it will benefit the research community and further collaborative development.