Research data for the paper Triangulating the Future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data

Research data for the paper Berge, S. H., de Winter, J., Cleij, D., & Hagenzieker, M. (2023). Triangulating the future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data (preprint).In this study, we conducted a systematic literature review on cyclists and automated vehicles, held group interviews with eight traffic safety and automation experts, and gathered questionnaire data. The resulting scenario collection features 20 prototypical scenarios, categorised based on the road users' direction of movement. The survey results helped identify high-risk situations and areas of particular relevance for studying automated vehicle communication solutions.The data set contains a .gdpx project file with anonymised transcripts, the full thematic analysis of the interview data, and a .xlsx file with the descriptive analysis and raw data from the questionnaire.

本数据集对应Berge, S. H.、de Winter, J.、Cleij, D.与Hagenzieker, M.（2023）发表的预印本论文《交叉验证未来：基于文献、专家观点与调研数据构建骑行者与自动驾驶车辆（Automated Vehicle）交互场景》（原英文标题：Triangulating the future: Developing scenarios of cyclist-automated vehicle interactions from literature, expert perspectives, and survey data）。本研究团队针对骑行者与自动驾驶车辆开展系统文献综述，邀请8名交通安全与自动驾驶领域专家开展小组访谈，并收集问卷调研数据。最终生成的场景集包含20个典型原型场景，依据道路使用者的运动方向进行分类。问卷调研结果可辅助识别高风险场景，以及自动驾驶车辆通信解决方案研究的重点相关领域。本数据集包含：存储匿名转录文本的.gdpx项目文件、访谈数据的完整主题分析成果，以及包含问卷描述性分析结果与原始调研数据的.xlsx文件。