Data underlying the publication: Interactive merging behavior in a coupled driving simulator: Experimental framework and case study

doi: 10.4121/19550377.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: 10.4121/19550377
Datacite citation style:
Olger Siebinga; Zgonnikov, Arkady; Abbink, D.A. (David) (2022): Data underlying the publication: Interactive merging behavior in a coupled driving simulator: Experimental framework and case study. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19550377.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset was recorded in a top-down-view driving simulator where two participants solved a merging conflict. This merging scenario is a simplified version of highway merging. In this scenario, two vehicles approach a pre-defined merge point. Two participants were asked to stick to their initial velocity, yet avoid collisions. The data was (and can be) used to analyze human interaction behavior during driving.

history
  • 2022-07-19 first online, published, posted
publisher
4TU.ResearchData
format
*.csv
funding
  • Nissan Motor Co. Ltd.
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics

DATA

files (6)