Description
This dataset contains processed data supporting a study on reasons and principles for automated vehicle manoeuvre planning guided by the tracking principle of Meaningful Human Control (MHC).
The dataset includes pseudonymised results from interviews with automated vehicle experts and derived qualitative analysis outputs, including lists of human reasons, preferred manoeuvring decisions and their corresponding reasons in ethically challenging routine situations, thematic saturation analyses, and inter-coder agreement metrics (Cohen’s kappa).
Raw interview audio and other identifiable materials are excluded due to ethical and legal constraints. All included data have been pseudonymised or aggregated to minimise re-identification risks.
The dataset includes pseudonymised results from interviews with automated vehicle experts and derived qualitative analysis outputs, including lists of human reasons, preferred manoeuvring decisions and their corresponding reasons in ethically challenging routine situations, thematic saturation analyses, and inter-coder agreement metrics (Cohen’s kappa).
Raw interview audio and other identifiable materials are excluded due to ethical and legal constraints. All included data have been pseudonymised or aggregated to minimise re-identification risks.
| Date made available | 2025 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
-
Operationalising Meaningful Human Control for Reason-Responsive Decision-Making in Automated Vehicles
Suryana, L. E., 2026, Delft: TRAIL Research School. 234 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile -
Reasons and principles for automated vehicle decisions in ethically ambiguous everyday scenarios: The case of cyclist overtaking
Suryana, L. E., Calvert, S., Zgonnikov, A. & van Arem, B., 2026, In: Transportation Research Interdisciplinary Perspectives. 35, 23 p., 101787.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Cite this
- DataSetCite