TY - DATA T1 - Data and code underlying the online perceived risk study PY - 2025/03/20 AU - Xiaolin He AU - Zirui Li AU - Xinwei Wang AU - R. (Riender) Happee AU - Meng Wang UR - DO - 10.4121/242d9474-e522-4518-8917-8f284fc8a7a8.v1 KW - perceived risk KW - automated vehicles KW - explainable AI KW - data-driven human behaviour analysis N2 -

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.

ER -