Research data for the paper: Support systems for cyclists in automated traffic: A review and future outlook.
doi: 10.4121/21130373.v1
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doi: 10.4121/21130373
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
CC BY-NC-ND 4.0
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)
-
42,008 bytesMD5:
7bf0ad7c62977a0dee7e69fc27b5e62fCoding scheme and sample.xlsx - download all files (zip)
42,008 bytes unzipped
