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.