Data underlying the MSc. thesis: An Evaluation of the Merging Interaction between Humans and Interaction-Aware Vehicles

doi:10.4121/3db0624d-a94e-4ac9-b0b3-5db3963bb547.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: 10.4121/3db0624d-a94e-4ac9-b0b3-5db3963bb547
Datacite citation style:
Scarì, Federico (2024): Data underlying the MSc. thesis: An Evaluation of the Merging Interaction between Humans and Interaction-Aware Vehicles. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/3db0624d-a94e-4ac9-b0b3-5db3963bb547.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
Delft University of Technology logo
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time coverage
2024
licence
cc-0.png logo CC0

This is the dataset of the Master thesis titled "An Evaluation of the Merging Interaction between Humans and Interaction-Aware Vehicles". The dataset encompasses the results of 10 experiments conducted as part of the thesis, with each experiment involving 2 participants, resulting in a total of 20 participants. All participants provided informed consent before participating in the experiments. The research protocol was reviewed and approved by the ethical committee of TU Delft.


The experiments were conducted using a virtual reality driving simulator, allowing for the collection of comprehensive data on the interaction between human drivers and interaction-aware vehicles. The dataset includes raw data captured during the experiments, as well as analyzed results derived from the collected data. The data include the raw data from the experiments conducted in the virtual reality driving simulator, the eye-tracking data capturing participants' gaze and attention during the merging interactions and the analyzed results obtained from the collected data.

history
  • 2024-03-22 first online, published, posted
publisher
4TU.ResearchData
format
All the code was written in python3 (.py), plots are saved as .png, data is saved as .xlsx and .csv and text files as .txt
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/c2ccf43c-875e-4f81-af76-2fbdeae1d14c.git

Or download the latest commit as a ZIP.

files (8627)