Data underlying the publication: "A model of dyadic merging interactions explains human drivers' behaviour from input signals to decisions"

doi: 10.4121/4126c919-1d0c-4ba9-80fa-3960f49e8cd7.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: 10.4121/4126c919-1d0c-4ba9-80fa-3960f49e8cd7
Datacite citation style:
Olger Siebinga; Zgonnikov, Arkady; Abbink, D.A. (David) (2023): Data underlying the publication: "A model of dyadic merging interactions explains human drivers' behaviour from input signals to decisions". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4126c919-1d0c-4ba9-80fa-3960f49e8cd7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset contains simulations of a model of two human drivers interacting in a top-down-view merging scenario. This merging scenario is a simplified version of highway merging. In this scenario, two vehicles approach a pre-defined merge point. In a previous experiment, we asked two participants to stick to their initial velocity yet avoid collisions. The data in this dataset contains model simulations that describe this human interactive behaviour during driving.

history
  • 2023-12-15 first online, published, posted
publisher
4TU.ResearchData
format
*.pkl
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics

DATA

files (2)