Data underlying the publication: "A model of dyadic merging interactions explains human drivers' behaviour from input signals to decisions"
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
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Dataset
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version 2 - 2024-06-18 (latest)
version 1 - 2023-12-15
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licence
CC BY 4.0
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
data link
https://doi.org/10.4121/19550377
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics
DATA
files (2)
- 2,384 bytesMD5:
b541f40b345a4a997aa51eed27dee163
README.txt - 392,611,682 bytesMD5:
6c52ec7b8482cec6d407cb4a4e930832
simulated_data.zip -
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392,614,066 bytes unzipped