Bicycle Rider Control Identification from Lateral Force Perturbation Tests

Data and source code accompany the paper 'Rider control identification in bicycling using lateral force perturbation tests' by A.L. Schwab, P.D.L de Lange, R. Happee, and Jason K. Moore. The dataset was published in Multibody System Dynamics in 2013. It likely contains experimental measurements from tests designed to study how riders control bicycles.

Use Cases

• Modeling rider control strategies based on lateral force perturbation tests.
• Validating multibody system dynamics simulations of bicycle-rider interactions.
• Analyzing human response to mechanical perturbations in vehicle control tasks.

Strengths

• Dataset is directly linked to a peer-reviewed publication in Multibody System Dynamics.
• Includes accompanying source code, which may facilitate reproducibility and analysis.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jason K. Moore and co-authors, associated with the referenced academic paper.

Collection Method

Likely gathered from controlled lateral force perturbation experiments on bicycles.