Synthetic data generated for evaluating the effectiveness of micromobility protective equipment

Synthetic data generated by using Conditional Tabular Generative Adversarial Network (CTGAN) to expand real data (i.e., manually created data), and each entry in this dataset represented all the data types expected from all data sources (i.e., questionnaire, micro-vehicle sensor kit, and micromobility hazard detector.本数据集采用条件表格生成对抗网络（Conditional Tabular Generative Adversarial Network，CTGAN）生成合成数据以扩充真实数据（即人工构建的数据），数据集中的每一条记录均涵盖了所有数据源预期覆盖的全部数据类型，这些数据源包括问卷、微型车辆传感器套件以及微移动出行危险检测器。