Cyclistsocialforce: Modified Social Forces for Cyclists with Realistic Dynamics in SUMO

Christoph M. Konrad (Creator)
J.K. Moore (Contributor)
A. Dabiri (Contributor)
F. Schulte (Contributor)
R. Happee (Contributor)

Dataset

Description

Social forces for microscopic traffic simulation of cyclists.

Bibliographical note

This software package is under development and will undergo frequent updates in the near future.

Date made available	5 Jul 2023
Publisher	GitHub
Date of data production	Jan 2023 -

Software license

MIT

Access Dataset

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

Supplementary Material of "Essential Bicycle Dynamics for Microscopic Simulation" - Experiments & Plots
Schmidt, C. M. (Creator), Dabiri, A. (Contributor), Schulte, F. (Contributor), Happee, R. (Contributor) & Moore, J. K. (Contributor), TU Delft - 4TU.ResearchData, 15 May 2024
DOI: 10.4121/574CD504-AD56-4234-8D48-C10931D13204
Dataset/Software: Software

Essential Bicycle Dynamics for Microscopic Traffic Simulation: An Example Using the Social Force Model
Schmidt, C. M., Dabiri, A., Schulte, F., Happee, R. & Moore, J. K., 2024, Proceedings of the 5th Symposium on the Dynamics and Control of Single-track Vehicles: Bicycle and Motorcycle Dynamics 2023, October 18-20, Delft, The Netherlands. Moore, J., de Vries, E., Dressel, A. & Alizadehsarav, L. (eds.). TU Delft OPEN Publishing, 12 p. (The Evolving Scholar; vol. 3).
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
79 Downloads (Pure)
Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings
Schmidt, C. M., Moore, J. K., Dabiri, A., Happee, R. & Schulte, F., 2023. 1 p.
Research output: Contribution to conference › Poster › Scientific

Open Access
File

Cite this

DataSetCite