Cyclist safety risk assessment application for Austin using Random Forest classification with SMOTE for class balancing. Interactive Streamlit web app predicts cycling incident severity based on time, location, and environmental conditions to promote safer cycling practices.
random-forest scikit-learn predictive-modeling smote environmental-factors transportation-safety traffic-safety real-time-prediction streamlit-application class-balancing risk-assessment- cyclist-safety incident-prediction urban-safety
-
Updated
Oct 3, 2024 - Jupyter Notebook