Reference Driving Scenarios to Support Research on Motion Sickness Mitigation

DOI

This dataset provides a collection of driving scenarios designed to support research on motion sickness in automated vehicles. It includes reference paths covering both purpose-designed circuits and real-world roads that exhibit characteristic frequency content in the acceleration relevant to motion sickness. In addition, a dynamically feasible sample trajectory for a single-track vehicle model is provided. The dataset enables reproducible simulation studies and controlled test-track experiments for evaluation of motion-planning algorithms targeting motion-sickness mitigation.

Further information about the dataset is provided in the documentation.pdf.

Identifier
DOI https://doi.org/10.35097/4mj6xh6jedtnd6e0
Related Identifier IsIdenticalTo https://publikationen.bibliothek.kit.edu/1000190971
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/4mj6xh6jedtnd6e0
Provenance
Creator Hess, Manuel ORCID logo; Seiffer, Alexander ORCID logo; Bohn, Christopher ORCID logo; Hohmann, Sören
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2026
Rights Open Access; Creative Commons Attribution Share Alike 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-sa/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences