Improving our understanding of contributing factors in California level 4 autonomous vehicle crashes through latent class analysis and machine learning-SHAP interpretations

Improving predictive driving algorithms so that AVs could better anticipate changes in vehicle speed, acceleration, and braking, limiting speeds in areas with high pedestrian activity, deploying friction-aware controls to improve traction on non-dry roads, and enhancing weather/visibility classification for AVs to automatically adjust speed and headway in adverse weather conditions.