Research data for the paper Triangulating the Future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data

doi:10.4121/e4324d0c-2a82-4f03-8cbb-64dd207cd522.v1
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/e4324d0c-2a82-4f03-8cbb-64dd207cd522
Datacite citation style:
Berge, Siri; de Winter, Joost; Cleij, Diane; Hagenzieker, M.P. (Marjan) (2023): Research data for the paper Triangulating the Future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e4324d0c-2a82-4f03-8cbb-64dd207cd522.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Research data for the paper Berge, S. H., de Winter, J., Cleij, D., & Hagenzieker, M. (2023). Triangulating the future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data (preprint).

In this study, we conducted a systematic literature review on cyclists and automated vehicles, held group interviews with eight traffic safety and automation experts, and gathered questionnaire data. The resulting scenario collection features 20 prototypical scenarios, categorised based on the road users' direction of movement. The survey results helped identify high-risk situations and areas of particular relevance for studying automated vehicle communication solutions.

The data set contains a .gdpx project file with anonymised transcripts, the full thematic analysis of the interview data, and a .xlsx file with the descriptive analysis and raw data from the questionnaire.

history
  • 2023-05-08 first online, published, posted
publisher
4TU.ResearchData
funding
  • Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow (grant code 860410) [more info...] European Commission
  • Top financing ESR 10 in Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (SHAPE-IT) (grant code 312213) [more info...] The Research Council of Norway
  • [more info...] SWOV Institute for Road Safety
  • [more info...] Institute of Transport Economics: Norwegian Centre for Transport Research
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA

files (3)