Traffic Accident Severity Prediction
Predictive model for assessing traffic accident severity using machine learning classification techniques.
Problem
Traffic accidents result in varying severity levels. Predicting severity helps emergency services allocate resources and informs road safety improvements.
Approach
Built a classification model using historical traffic accident data, evaluating features like road conditions, weather, time of day, and vehicle types.
Outcome
Created a predictive model capable of classifying accident severity with meaningful accuracy, providing insights for road safety planning.
Technologies
PythonScikit-LearnPandas