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DOI: 10.4121/242d9474-e522-4518-8917-8f284fc8a7a8

He, Xiaolin; Li, Zirui; Wang, Xinwei; R. (Riender) Happee; Wang, Meng (2025): Data and code underlying the online perceived risk study. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/242d9474-e522-4518-8917-8f284fc8a7a8.v1

Categories

• Interdisciplinary Engineering
• Engineering
• Transport
• Psychology and Cognitive Sciences
• Technology
• Information and Computing Sciences

Keywords

automated vehicles data-driven human behaviour analysis explainable AI perceived risk

Licence

CC BY 4.0

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by Xiaolin He , Zirui Li, Xinwei Wang, R. (Riender) Happee , Meng Wang

This study explores the dynamic nature of perceived risk in vehicle interactions. Using a novel simulation-based approach, time-continuous perceived risk data were obtained from over 140k ratings by 2,164 participants across various traffic scenarios. This package contains the collected perceived risk data, corresponding kinematic data of the simulation, code and software implementation in MATLAB, Python, SPSS, and Origin for data processing, statistical analysis, model calibration, perceived risk prediction, SHAP analysis and visualisation.

History

• 2025-03-20 first online, published, posted

Publisher

4TU.ResearchData

Format

script/.py script/.m data/.mat spreadsheet/.xlsx PSPP/.sav image/.pdf Origin project/.opju

Organizations

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