Addis Ababa City Road Traffic Accident Severity Dataset

This dataset contains traffic accident records from Addis Ababa City, Ethiopia, spanning the years 2016 to 2022. The dataset includes 13,064 rows and 31 features related to various factors influencing road traffic accident severity. The target variable is categorized into three severity levels: slight, serious, and fatal injuries.The dataset aims to facilitate the analysis and prediction of road traffic accident severity using machine learning algorithms. It was initially collected by the Addis Ababa Police Department and contains a rich set of variables, including weather conditions, collision type, driver demographics, road conditions, and time of accident, among others. This comprehensive dataset serves as a foundation for developing predictive models for accident severity, which can be valuable for urban planning, traffic safety research, and policy development.Key features in the dataset include:Accident Severity (Target Variable): Categorical variable indicating the severity of the accident (slight, serious, fatal).Weather Conditions: Describes the weather at the time of the accident (e.g., clear, rainy, foggy).Collision Type: The type of collision (e.g., rear-end, side-impact).Driver Demographics: Features like driver age, driver sex, and experience that may affect accident outcomes.Location: Various aspects of the accident location, including junction type, road type, and alignment.Temporal Features: Time-related variables such as day of the week, time of day, and seasonal trends.Vehicle Information: Includes vehicle type, vehicle defect, vehicle movement, and the relationship between the vehicle owner and the driver.Casualty Information: Includes age, sex, and fitness of the casualty.本数据集收录埃塞俄比亚亚的斯亚贝巴市2016年至2022年的交通事故记录，共计13064条样本，涵盖31项与道路交通事故严重程度相关的影响因素特征。目标变量被划分为三类事故严重等级：轻微受伤、严重受伤与致命受伤。本数据集旨在为基于机器学习算法的道路交通事故严重程度分析与预测工作提供支撑。该数据集最初由亚的斯亚贝巴警察局采集，包含多维度丰富变量，具体包括天气状况、碰撞类型、驾驶员人口统计学特征、道路状况以及事故发生时间等。这套全面的数据集可作为构建交通事故严重程度预测模型的基础，对城市规划、交通安全研究以及政策制定均具备重要应用价值。数据集核心特征如下：1. 事故严重程度（目标变量）：表征事故严重程度的分类变量，取值为轻微、严重、致命三类。2. 天气状况：描述事故发生时的天气情况，例如晴朗、降雨、大雾等。3. 碰撞类型：指事故的碰撞形式，例如追尾、侧面碰撞等。4. 驾驶员人口统计学特征：包含驾驶员年龄、性别、驾龄等可能影响事故后果的特征项。5. 事故地点属性：涵盖路口类型、道路类型以及道路线形等事故发生地点的相关信息。6. 时间特征：包含与时间维度相关的变量，例如星期几、当日时段以及季节趋势等。7. 车辆信息：包括车辆类型、车辆故障、车辆运动状态以及车主与驾驶员的关系等内容。8. 伤亡人员信息：包含伤亡人员的年龄、性别以及健康状况等。