Data underlying the MSc project: Human predictions of another vehicle at an intersection

DOI:10.4121/77747cfa-f219-4211-aa77-80f7d75ca017.v1
The DOI displayed 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: 10.4121/77747cfa-f219-4211-aa77-80f7d75ca017

Datacite citation style

Sluimer, Joop; Zgonnikov, Arkady (2025): Data underlying the MSc project: Human predictions of another vehicle at an intersection. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/77747cfa-f219-4211-aa77-80f7d75ca017.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

MSc Thesis project in collaboration with TU Delft and cogniBIT GmbH on human prediction of another vehicle at an intersection.


30 participants were shown 168 intersection scenarios to analyse the influence of heading angle, relative position, blinkers, deceleration and lateral offset on the predicted directions. The predicted direction response is an array of [Forward%, Left%, Right%], always summing to 100%. When the participant was unsure about the direction a [33.3%, 33.3%, 33.3%] response was given (also the default option), when the participant was very confident about a direction the response would be [100%, 0%, 0%] in the left/forward/right direction.


The human prediction responses are stored in the .h5 files. Please read the metadata.txt file for the contents of each file.


To recreate the experiment, the video and image files are to be used with the experiment_gui.py from the gitlab page below. The files need to be stored in a /data/experiment/ directory or the location in the python file needs to be changed.


https://gitlab.tudelft.nl/tud-cor-hri/student-projects/human-predictions-in-traffic-joop


Within the experiment_gui.py code, the participant_ID value needs to be changed to the pseudonymized ID for the corresponding participant. The ID is also responsible for the random seed, which affects the random order the videos are shown in.


The experiment was approved by the TU Delft Ethics committee, and requires participant of the experiment to sign an informed consent form prior to taking part in the experiment. No PII of the participant is stored within the dataset.

History

  • 2025-07-16 first online, published, posted

Publisher

4TU.ResearchData

Format

image/.png, video/.avi, response data/.h5

Organizations

TU Delft, Faculty of Mechanical Engineering, Robotics;
cogniBIT GmbH

DATA

Files (338)