The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/574cd504-ad56-4234-8d48-c10931d13204

Schmidt, Christoph M.; Dabiri, Azita; Schulte, F. (Frederik); R. (Riender) Happee; Moore, Jason K. (2024): Supplementary Material of "Essential Bicycle Dynamics for Microscopic Simulation" - Experiments & Plots. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/574cd504-ad56-4234-8d48-c10931d13204.v1

Dataset

• Civil Engineering
• Mechanical Engineering
• Environmentally Sustainable Transport
• Ground Transport
• Engineering
• Transport

bicycle dynamics, bicycle trajectories, cyclist behaviour, microscopic traffic simulation, social force model

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Christoph M. Schmidt , Azita Dabiri , F. (Frederik) Schulte , R. (Riender) Happee , Jason K. Moore

Simulation experiments and plots of our publication "Essential bicycle dynamics for microscopic simulation - An example using the social force model." (Schmidt et al., 2023).

Three python scripts create the content of our publication:

• test_scenarios.py: Simulation experiments, Figures 8 - 10, and Table 1.
• stablility_limits_symbolic.py: Figures 5, 6 and verification of the equations of the paper.
• repulsive_force_fileds.py: Figure 3.

This software was created in the context of my PhD project at Delft University of Technology.

• 2024-05-15 first online, published, posted

4TU.ResearchData

python source code

Essential Bicycle Dynamics for Microscopic Traffic Simulation: An Example Using the Social Force Model

• https://github.com/chrismo-schmidt/cyclistsocialforce

https://github.com/chrismo-schmidt/bmd2023-supplements-bike-dynamics-microsim/

TU Delft, Faculty of Mechanical Engineering