4 research outputs found

    Supplementary data for the article: Cycling Skill Inventory: Assessment of motor-tactical skills and safety motives

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    Raw data and scripts belonging to the article: De Winter, J. C. F., Kovácsová, N., & Hagenzieker, M. P. (2018). Cycling Skill Inventory: Assessment of motor-tactical skills and safety motives

    Supplementary data for the article: What will the car driver do? A video-based questionnaire study on cyclists’ anticipation during safety-critical situations

    No full text
    This data set includes data for figures and statistical analyses, an online questionnaire, and supplementary materials (including an overview of the video clips, links to the exact locations of the intersection situations, and supplementary data analyses) for the paper: Kovácsová, N., De Winter, J. C. F., & Hagenzieker, M. (2019). What will the car driver do? A video-based questionnaire study on cyclists’ anticipation during safety-critical situations. Journal of Safety Research, 69, 11–21

    Supplementary data for the article: Emergency braking at intersections: A motion-base motorcycle simulator study

    No full text
    This dataset includes a word file describing motion cueing algorithm & learning curves, an illustrative video of the experiment, Matlab scripts, vehicles' s profiles and simulated world characteristics, Oculus Rift settings, and questionnaire data

    Supplementary data for the article: Cyclists’ eye movements and crossing judgments at uncontrolled intersections: An eye-tracking study using animated video clips

    No full text
    This dataset includes, animated video clips, Matlab scripts, raw data, data for statistical analyses, forms (consent form, instructions) and questionnaires provided to participants for the paper: Kovácsová, N., Cabrall, C. D. D., Antonisse, S. J., De Haan, T., Van Namen, R., Nooren, J. L., Schreurs, R., Hagenzieker, M. P., & De Winter, J. C. F. (2018). Cyclists’ eye movements and crossing judgments at uncontrolled intersections: An eye-tracking study using animated video clips. Accident Analysis and Prevention, 120, 270–28
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