Supplementary Material of "Essential Bicycle Dynamics for Microscopic Simulation" - Experiments & Plots

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.

Requirements

Executing the scripts requires the following modules / packages. They are available from their own repositories or come bundled with the archived version of this software available at the 4TU.ResearchData repository.

• Python 3.11

• cyclistsocialforce v1.1.1

• pypaperutils

• pytrafficutils

Installation

1. Install the requirements in a new virtual environment of your preference.

2. Run the scripts.

Authors

• Christoph M. Schmidt, [email protected] (algorithm and software development, experiment design)

• Azita Dabiri (Supervision, consultation, review)

• Frederik Schulte (Supervision, consultation, review)

• Rieder Happee (Supervision, consultation, review)

• Jason K. Moore (Supervision, consultation, review, software development)

License

This software is licensed under the terms of the MIT License.

Additional Material

An archived version of this code can be found at the 4TU.ResearchData repository under with the DOI 10.4121/574cd504-ad56-4234-8d48-c10931d13204

Citation

If you use this software in your research, please cite it in your publications as:

Schmidt, C., Dabiri, A., Schulte, F., Happee, R. & Moore, J. (2023). Essential Bicycle Dynamics for Microscopic Traffic Simulation: An Example Using the Social Force Model [Preprint]. The Evolving Scholar - BMD 2023, 5th Edition. DOI: 10.59490/65a5124da90ad4aecf0ab147