Dataset underlying the master thesis: How Human-Machine Interaction keeps pace with Automated Vehicles
Datacite citation style:
Gürses, Sergin (2020): Dataset underlying the master thesis: How Human-Machine Interaction keeps pace with Automated Vehicles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:030e75bc-a2ad-4761-bcc7-9b43911315d9
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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This dataset contains results of a systematic review which analysed 340 papers about Human Machine Interaction in automated driving. These papers are categorized in multiple categories, such as SAE level, participant data and used metrics. Additionally, these papers were found with extensive query search in Google Scholar. This data set also provides these queries and their results.
history
- 2020-06-26 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/plain
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering
DATA
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- 1,390 bytesMD5:
b7ca823cd0d139666e1f02d7032a5d08
README.txt - 3,112,258 bytesMD5:
bd61cc1830598e8a350c61ec5b385fa3
matlab_data.xlsx -
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