Research data for the paper: Support systems for cyclists in automated traffic: A review and future outlook.

doi:10.4121/21130373.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: 10.4121/21130373
Datacite citation style:
Berge, Siri; de Winter, Joost; Hagenzieker, M.P. (Marjan) (2022): Research data for the paper: Support systems for cyclists in automated traffic: A review and future outlook. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21130373.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Dataset showing the sample and the coding scheme used for analysis in Berge, S. H., de Winter, J., & Hagenzieker, M. (2022). Support systems for cyclists in automated traffic: A review and future outlook.


The paper provides a synthesis of the current literature on communication technologies, systems, and devices available to cyclists and discusses the outlook of technology-driven solutions in future automated traffic. We have analysed and coded 92 support systems using a taxonomy of 13 variables based on the physical, communicational, and functional attributes of the systems.


The dataset contains the 62 publications and the analysis of the 92 concepts identified in the literature searches. 

history
  • 2022-10-05 first online, published, posted
publisher
4TU.ResearchData
format
.xlsx
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA

files (1)