Research output per year
Research output per year
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Dive into the research topics where A. Zgonnikov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A lack of meaningful human control for automated vehicles: pressing issues for deployment and regulation
Calvert, S. C. & Zgonnikov, A., 2025, In: Frontiers in Future Transportation. 6, 6 p., 1534157.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile11 Downloads (Pure) -
Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
Dong, Y., Zhang, L., Farah, H., Zgonnikov, A. & van Arem, B., 2025, In: Transportation Research Record. 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Downloads (Pure) -
Meaningful human control of partially automated driving systems: Insights from interviews with Tesla users
Suryana, L. E., Nordhoff, S., Calvert, S., Zgonnikov, A. & van Arem, B., 2025, In: Transportation Research Part F: Traffic Psychology and Behaviour. 113, p. 213-236 24 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile45 Downloads (Pure) -
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users
Suryana, L. E., Nordhoff, S., Calvert, S. C., Zgonnikov, A. & Van Arem, B., 2024, Proceedings of the 35th IEEE Intelligent Vehicles Symposium, IV 2024. IEEE, p. 409-416 8 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile12 Downloads (Pure) -
A model of dyadic merging interactions explains human drivers' behavior from control inputs to decisions
Siebinga, O., Zgonnikov, A. & Abbink, D. A., 2024, In: PNAS Nexus. 3, 10, 14 p., pgae420.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile44 Downloads (Pure)
Datasets
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Code and data underlying the publication: Data-driven Semi-supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
Dong, Y. (Creator), Zhang, L. (Creator), Farah, H. (Creator), Zgonnikov, A. (Creator) & van Arem, B. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/B60DFDA0-055A-4046-A615-E0166A356C95
Dataset/Software: Dataset
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Data underlying the publication "Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework"
Siebinga, O. (Creator), Mohammad, S. H. A. (Creator) & Zgonnikov, A. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/491199A3-4CEB-4F5A-AAC9-451DF6C77D0B
Dataset/Software: Dataset
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Code accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”
Siebinga, O. (Creator), Zgonnikov, A. (Creator) & Abbink, D. A. (Creator), TU Delft - 4TU.ResearchData, 22 Oct 2021
DOI: 10.4121/16847203
Dataset/Software: Software
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Data underlying the publication: Modelling communication-enabled traffic interactions
Siebinga, O. (Creator), Zgonnikov, A. (Creator) & Abbink, D. A. (Creator), TU Delft - 4TU.ResearchData, 14 Apr 2023
DOI: 10.4121/20749069
Dataset/Software: Dataset
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Data underlying the publication: "A model of dyadic merging interactions explains human drivers' behaviour from input signals to decisions"
Siebinga, O. (Creator), Zgonnikov, A. (Creator) & Abbink, D. A. (Creator), TU Delft - 4TU.ResearchData, 15 Dec 2023
DOI: 10.4121/4126C919-1D0C-4BA9-80FA-3960F49E8CD7
Dataset/Software: Dataset