Transportation and Accident Records Dataset

This dataset contains structured transportation and road accident records designed forresearch, machine learning model development, and academic analysis. The data includesinformation on accident severity, date and time, location, vehicle details, driver conditions,weather parameters, and road characteristics. The dataset was created to support projects involving accident prediction, transportation safety analysis, and smart transport alert systems. It is suitable for machine learning classification tasks (such as severity prediction), geospatial mapping, and trend analysis. The dataset is synthetic but follows realistic patterns based on transportation conditions and accident statistics. It is fully cleaned, validated, and formatted for direct use in data science workflows. This dataset accompanies the “Smart Transport Accident Prediction & Alert System” project using a Random Forest model.本数据集包含结构化交通与道路事故记录，专为科研、机器学习模型开发与学术分析而构建。数据涵盖事故严重程度、事发日期与时间、事发地点、车辆详情、驾驶员状态、气象参数以及道路特征等信息。 本数据集旨在为事故预测、交通安全分析、智能交通预警系统相关项目提供支撑，可适用于机器学习分类任务（如事故严重程度预测）、地理空间制图以及趋势分析等场景。 本数据集为合成数据集，但基于真实交通场景与事故统计数据生成，符合现实规律。数据集已完成全流程清洗、验证与格式标准化，可直接应用于数据科学工作流程。 本数据集配套依托随机森林（Random Forest）模型构建的「智能道路事故预测与预警系统」项目使用。