Description
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.
| Date made available | 13 Feb 2025 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Conference contribution
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Modeling Human Driver Behavior During Highway Merging Using the Communication - Enabled Interaction Framework
Siebinga, O., Mohammad, S. H. A. & Zgonnikov, A., 2025, Proceedings od the 36th IEEE Intelligent Vehicles Symposium, IV 2025. IEEE, p. 1258-1265 8 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile1 Downloads (Pure)
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