Data underlying the publication "Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework"

DOI:10.4121/491199a3-4ceb-4f5a-aac9-451df6c77d0b.v1
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DOI: 10.4121/491199a3-4ceb-4f5a-aac9-451df6c77d0b
Datacite citation style:
Olger Siebinga; Mohammad, Samir; Zgonnikov, Arkady (2025): Data underlying the publication "Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/491199a3-4ceb-4f5a-aac9-451df6c77d0b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains simulated merging interactions on a highway. The model presented in the paper "Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework" was simulated in nine scenarios, each in 100 trials. This model is based on the Communication-Enabled Interaction framework and describes how two human drivers interact during merging in terms of low-level control inputs, safety margins, and high-level decisions (who goes first?). This dataset contains 900 trials where a simulated human-driven vehicle merges onto a single-lane highway occupied by one other simulated human-driven vehicle. The initial velocity differences and gaps between the vehicles vary, resulting in the nine scenarios. We published a software repository on GitHub (see references) containing playback and plotting scripts to use the data.

History

  • 2025-02-13 first online, published, posted

Publisher

4TU.ResearchData

Format

*.pkl

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics

DATA

Files (2)